Automatic sequencing based on wireless connectivity

Abstract

A method of determining the sequence of traversing nodes in a communication network is provided. The method comprises with each node, determining other nodes in the network it can reach in a single hop. Creating a local sequence connection order based on the determined other nodes the node can reach in a single communication hop. Storing historical data of local sequence connection order information and determining a new local sequence connection order based in part on the historical data and communication information.

Description

BACKGROUND

For the purposes of logistics and communication, vehicle convoys often require that each vehicle know its specific order in the overall sequence. Traditionally, the order is assigned statically before the convoy embarks with the assumption that the assigned order will not change in transit. In practice however, the actual order of the vehicles may change in transit. Therefore, a better approach is to endow the convoy with the capability to configure its order dynamically so its order is automatically updated when the order of the convoy changes. A wireless ad-hoc network is a medium over which a dynamic auto-sequencing system could take place. However, there are several limitation to this type of scheme. First of all, any sequencing algorithms used by the system would have to be robust enough to handle frequent lost connections over the wireless connection. Secondly, radio strength can not be relied on as being proportional to geographical proximity due to obstacles, battery power, interference, etc. Thirdly the distance between vehicles does not always reflect the actual sequence of the vehicles (e.g. when going around corners).

For the reasons stated above and for other reasons stated below which will become apparent to those skilled in the art upon reading and understanding the present specification, there is a need in the art for an automatic sequencing that is effective and efficient that over comes the above discussed limitations.

SUMMARY

The above-mentioned problems of current systems are addressed by embodiments of the present invention and will be understood by reading and studying the following specification. The following summary is made by way of example and not by way of limitation. It is merely provided to aid the reader in understanding some of the aspects of the invention.

In one embodiment, a method of determining the sequence of traversing nodes in a communication network is provided. The method comprises with each node, determining other nodes in the network it can reach in a single hop. Creating a local sequence connection order based on the determined other nodes the node can reach in a single communication hop. Storing historical data of local sequence connection order information and determining a new local sequence connection order based in part on the historical data and communication information.

BRIEF DESCRIPTION OF THE DRAWINGS

The present invention can be more easily understood and further advantages and uses thereof more readily apparent, when considered in view of the detailed description and the following figures in which:

FIG. 1A is an illustration of a panned order of a vehicle convoy of the prior art;

FIG. 1B is an illustration of the actual order of a vehicle convoy of the prior art;

FIG. 1C is an illustration of a vehicles in a convoy at a particular time of the prior art;

FIG. 2 is an illustration of a vehicle convoy of one embodiment of the present invention;

FIG. 3 is a block diagram of a node of one embodiment of the present invention;

FIG. 4 is an illustration of a reaction flow diagram of one embodiment of the present invention;

FIG. 5 is an illustration of a refuse receipt request flow diagram of one embodiment of the present invention;

FIG. 6 is an illustration of an accept received flow diagram of one embodiment of the present invention;

FIG. 7 is an illustration of a must-connect received flow diagram of one embodiment of the present invention;

FIG. 8 is an illustration of a first monitor flow diagram of one embodiment of the present invention; and

FIG. 9 is an illustration of a second monitor flow diagram of one embodiment of the present invention.

In accordance with common practice, the various described features are not drawn to scale but are drawn to emphasize specific features relevant to the present invention. Reference characters denote like elements throughout Figures and text.

DETAILED DESCRIPTION

In the following detailed description, reference is made to the accompanying drawings, which form a part hereof, and in which is shown by way of illustration specific embodiments in which the inventions may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the invention, and it is to be understood that other embodiments may be utilized and that logical, mechanical and electrical changes may be made without departing from the spirit and scope of the present invention. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is defined only by the claims and equivalents thereof.

Embodiments of the present invention provide automatic sequencing systems that do not rely on predetermined route information or navigational equipment to determine vehicle order. In embodiments, the order of the vehicles in the convoy is established via the propagation of adjacent node lists throughout the wireless network and a set of heuristic algorithms that utilize snapshots of previous states of the network's connectivity (i.e., historical data). The state of the network is updated constantly and the sequence order of the vehicles is recalculated in such a way that does not put undue burden on the network bandwidth or the processing resources at each wireless node. Each node determines its position in the sequence based on partial information communicated to its adjacent nodes. Therefore, each node is a member of a scalable peer-to-peer network and does not rely on server-client (or master-slave) network architectures to compute the sequence order. Since the network is peer-to-peer, vehicles may be added or subtracted from the convoy in transit.

To provide a foundation for the present invention further background is provided in regards to FIG. 1A which illustrates the planned order of a convoy of vehicles 100. In a vehicle convoy 100 it is often necessary to assign sequence numbers to the vehicle based on their physical position. As illustrated, the convey includes a lead vehicle 102 and following vehicles 104. In the planed order the following vehicles 104 are positioned in a sequential order. The planed order is illustrated in this example as an alphabetic order, A, B, C, D, E and F of FIG. 1A. In practice, however, it is difficult to keep the sequential order of the following vehicles 104 as the vehicles traverse through a route. For example, it is common for the sequence to get mixed up at the start or around a curve while in transit. An example of the actual order of following vehicles 104 during transit is illustrated in prior art FIG. 1B. Hence, assigning the order sequence at the start of the transit is ineffective. If the vehicles in the convoy are part of the same wireless network, the network connectivity can be used to establish the vehicle sequence numbers. There are numerous advantages using network conductivity. For example, using network conductivity does not rely on a predetermined vehicle order. It supports in transit vehicle re-sequencing and the number of vehicles may change in transit. Moreover, it does not rely on navigation technology such as GPS or accelerometers.

In using network conductivity to determine the sequence order of the following vehicles 104 require the resolution of several technical issues. For example, one way to determine neighbor discovery would be by signal strength. However, radio strength is not always proportional to geographically proximity due to such things as obstacles, battery power and interferences. Moreover, the distance between vehicles cannot be relied on to determine actual sequence. For example, referring to prior art FIG. 1C, when the convoy of vehicles 100 takes a turn vehicles A and D of the following vehicles 104 are closer than vehicles A and B, while the proper sequence is A, B, C and D.

Referring to FIG. 2, one embodiment of a vehicle convoy (or network) 200 of the present invention is illustrated. As illustrated, the vehicle convoy 200 includes a lead vehicle 202, an end vehicle 204 and intermediate vehicles 206 (1−N). Each vehicle (or node) 202, 204 and 206 (1−N) only knows about its own view of the network. Thus a node will try to connect to one or more reachable nodes to create a sequence. After a node is initialized, it will determine the other nodes in the network 200 can reach in a single hop. These adjacent nodes will be used to create a local sequence. Each nodes previous state information is stored locally to help arbitrate when the convoy order changes. Historical data at each node is used to calculate probabilities that a change in connectivity equals a change in order. The convoy network 200 assumes that the established order is maintained until the connectivity has been altered a long enough period of time that a new sequence order is required. An example of a node 300 of one embodiment is illustrated in the block diagram of FIG. 3. As illustrated, the node 300 includes a controller 302, a transceiver 304, a memory 306 and a time stamp 308. The transceiver 304 sends and receives signals under control of the controller 302. The memory is used to store historical data of past connections. The controller 302 applies algorithms to received data and stored data to determine the convoy sequence. The time stamp 308 is used by the controller 302 to associate specific times with communication information. For example, a time stamp is used when a refused connection signal is received or when a node was entered in a pending list which is described below.

To establish a connection, a node, such as node 300, sends out a request to an available node. In one embodiment, there are two types of requests, a connect request and a must-connect request. The connect request may be accepted by another node, thereby creating a sequence (or link) between the sender and receiver. A connect request may also be refused. A refusal of a connect request can occur for example when the receiving node already has a connection with two other nodes. A must-connect request must be accepted by the receiving node. A must-connect request is used if a node will be an orphan if it is not connected (i.e. it has no other communication connection available). After accepting a request, the receiving node sends a return accept message to the requester. After refusing a request, the receiving node sends a return refuse message to the requester. Requesting nodes keep a list of pending requests, to track which nodes have been issued connection requests but have not replied with an accept or refuse return message. Each node also tracks which nodes have sent them refuse return messages (with timestamps), so that they avoid re-sending a future request to the refusing node.

The controller 302 of the node 300 in embodiments periodically runs a monitor operation to determine the state of the local sequence connections of the node. The monitor operation determines if the connections in the established local sequence are still valid. In one embodiment, this is done by checking if the nodes in a local sequence or a pending list are still adjacent (in one hop). If a local sequence is not complete, than up to two connection requests may be sent by the node, depending on the node type and the state of the network. The lead 202 or rear 204 nodes may request a connection to at most one node for its local sequence. Intermediate nodes 206 (1−N) may request at most two nodes for a sequence connection. In one embodiment, if an intermediate node is an orphan (i.e., has only one adjacent node), then its connection requests are must-connect types. In one embodiment, any node may have more than two connections if its local sequence includes connections to orphaned nodes. During the monitor operation, a node may decide not to send any connection requests when its local sequence is not complete. For example, if a local sequence is broken because a radio transmission temporarily lost RF contact, then the node can decide to wait so that the failed connection can be re-established in a reasonable amount of time, before requesting connections with new nodes.

Most of the time (in a typical network), the controller 302 of a node 300 will have to select between multiple nodes which is the better node to establish a sequence connection. In these cases, the node will apply an evaluation process to determine the “best” node. The evaluation process assigns a fitness value to each available node. The highest fitness value is determined the “best” candidate node for a sequence connection. Criteria for the fitness value function in one embodiment includes the list of refuse message received by the node, a history of radio signal strength (including time stamps) for each adjacent node, a history of established sequence connections (including timestamps and request type connect or must-connect) for each adjacent node. In one embodiment, a second periodic process is required. The second periodic process is used to remove connection requests in the pending list that have not received timely replies and to remove messages from the refuse list which may be ready to accept new requests.

Referring to FIG. 4 a reaction flow diagram 400 of one embodiment is illustrated. As illustrated, a connect message is received from sending node X (402). It is first determined if node X is in link list (404). If node X is within link list (402), the process ends (424). If node X is not within the link list (402), it is determined if node X is in a pending list (406). If node X is in a pending list (406), it is then removed from the pending list (422). Then node X is linked (420) and the process ends (424). If node X is not on the pending list (406), it is determined if the node is a lead or rear node (408). If it is a lead or rear node (408), its maximum number of allowable node connections is set to 1 (411). If the node is not a lead or rear node (408), its maximum number of allowable node connections is set to 2 (410). It is then determined if the size of link plus the size of the pending is less than the maximum number of allowable node connections (414). If it is not less than the maximum (414), a refuse message is sent to node X (416) and the process ends (424). If it is less than the maximum (414), an accept message is sent to node X (418). Node X is then linked (420) and the process then ends (424).

FIG. 5 illustrates a refuse receipt request flow diagram 500 of one embodiment. As illustrated, a refuse message is received from sending node X (502). It is then determined if node X is in the pending list (504). If node X is not on the pending list 504, the process ends at (510). If node X is in the pending list (504), it is removed from the pending list (506) and added to the refused list with a time stamp (508). FIG. 6 illustrates an accept received flow diagram 600 of one embodiment. As illustrated, an accept message is received from sending node X (602). It is then determined if node X is currently on the pending list (604). If node X is not on the pending list (604), the process ends at (610). If node X is on the pending list (604), it is removed from the pending list (606). Node X is then linked (608) and placed in a linked list. The process ends at (610).

In FIG. 7 a must-connect received flow diagram 700 of one embodiment is illustrated. A must-connect message is received from sending node X at (702). It is determined if node X is in the current link list (704). If node X is currently in the link list (704), the process ends at (714). If node X is not currently on the link list (704), it is determined if node X is on the pending list (706). If node X is on the pending list (706), node X is removed from the pending list (712) and node X is linked and added to the link list (710). If node X is not one the pending list, an accept message is sent to node X (708). Node X is then link and added to the linked list (710). The process ends at (714).

A first monitor flow diagram 800 of one embodiment is illustrated in FIG. 8. As illustrated, the monitor operation is invoked periodically (602). Once invoked, a list of Z nodes pending that are not available (604). It is determined if Z is empty (806). If Z is not empty (806), nodes in Z are removed from the pending list (810). As illustrated, once Z is empty (806), a list of Y nodes in a link list that are not available is calculated (808). It is then determined if Y is empty (812). If Y is not empty (812), nodes in Y are removed from the link list (814). Once Y is empty, it is determined if the node is a lead or rear node (816). If the node is a lead or rear node (816), its maximum number of allowable node connections is set to 1 (818). If the node is not a lead or rear (816), its maximum number of allowable node connections is set to 2 (820). It is then determined if it is likely a lost link connection will return (822). If it is likely the lost link will return (822), the process will end at (838). If it is not likely the link will return (822), it is determined if the size of the link is less than the maximum number of allowable connections and the size of the available list is greater than the maximum number of allowable connections (824). If the size of the link is less than the maximum and the size of the available list is greater than the maximum (824), the best connection node A is calculated from the available list (828). The best connection node A is added to the pending list (830) and a connect message is sent to node A (832). If the size of the link is not less than the maximum number of allowable connections or the size of the available list is not greater than the maximum number of allowable connections (824), it is determined whether the size of the link list is less than the maximum number of allowable connections and the size of the available list is less than or equal to the maximum number of allowable connections (826). If it is determined that the size of the link list is not less than the maximum or the size of the available list is not less than or equal to the maximum (826), the process ends at (838). If, however, it is determined that the size of the link list is less than the maximum and the size of the available list is less than or equal to the maximum (826), all available nodes are added to the pending list (834) and a must-connect message to each in the available list is sent (836). The process ends at (838).

Referring to FIG. 9, a second monitor flow diagram (902) of one embodiment is illustrated. The monitor operation is invoked periodically (902). All entries in the refused list in which an associated timestamp exceeds a maximum time window are removed (904). All entries in the pending list in which the timestamp exceeds a maximum time window are removed (906). The process ends at (908).

The methods and techniques used by the controller of nodes as described above can be implemented in digital electronic circuitry, or with a programmable processor (for example, a special-purpose processor or a general-purpose processor such as a computer) firmware, software, or in combinations of them. Apparatus embodying these techniques may include appropriate input and output devices, a programmable processor, and a storage medium tangibly embodying program instructions for execution by the programmable processor. A process embodying these techniques may be performed by a programmable processor executing a program of instructions to perform desired functions by operating on input data and generating appropriate output. The techniques may advantageously be implemented in one or more programs that are executable on a programmable system including at least one programmable processor coupled to receive data and instructions from, and to transmit data and instructions to, a data storage system, at least one input device, and at least one output device. Generally, a processor will receive instructions and data from a read-only memory and/or a random access memory. Storage devices suitable for tangibly embodying computer program instructions and data include all forms of non-volatile memory, including by way of example semiconductor memory devices, such as EPROM, EEPROM, and flash memory devices; magnetic disks such as internal hard disks and removable disks; magneto-optical disks; and DVD disks. Any of the foregoing may be supplemented by, or incorporated in, specially-designed application-specific integrated circuits (ASICs).

Although specific embodiments have been illustrated and described herein, it will be appreciated by those of ordinary skill in the art that any arrangement, which is calculated to achieve the same purpose, may be substituted for the specific embodiment shown. This application is intended to cover any adaptations or variations of the present invention. Therefore, it is manifestly intended that this invention be limited only by the claims and the equivalents thereof.

Claims

1. A method of determining order of neighbor vehicles for each vehicle in a vehicle convoy communication network, the method comprising: forming a vehicle convoy communication network including a lead vehicle, a rear vehicle, and one or more intermediate vehicles, wherein the lead vehicle, the rear vehicle, and the one or more intermediate vehicles are configured to intercommunicate, wherein connections between vehicles and neighboring vehicles are defined as link connections wherein the maximum number of link connections are as follows: one for the lead vehicle, one for the rear vehicle, and two for each of the intermediate vehicles;for each vehicle in the convoy, determining a local sequence of neighbor vehicles in the vehicle convoy communication network based on order in past history of the vehicles in the convoy communication network; andupon receipt of a message from any vehicle in the vehicle convoy, modifying the local sequence to reflect the revised order of the communicatively linked neighbor vehicles.

2. The method of claim 1, further comprising: updating the past history based on a change in local sequence.

3. The method of claim 1, wherein determining a local sequence further comprises: determining other vehicles that can be communicated with in a single hop.

4. The method of claim 1, wherein modifying the local sequence further comprises: using probabilities on historical data and on a change in received messages to determine a change in the local sequence.

5. The method of claim 1, wherein modifying the local sequence is further based at least in part on one of receiving messages from vehicles that are not established as nodes within the current convoy, on not receiving messages from vehicles in the current convoy, and on a time period since a message was last received from a vehicle in the convoy.

6. A non-transitory processor readable storage medium which stores processor executable instructions to perform the following: forming a vehicle convoy communication network including a lead vehicle, a rear vehicle, and one or more intermediate vehicles, wherein the lead vehicle, the rear vehicle, and the one or more intermediate vehicles are configured to intercommunicate, wherein connections between vehicles and neighboring vehicles are defined as link connections wherein the maximum number of link connections are as follows: one for the lead vehicle, one for the rear vehicle, and two for each of the intermediate vehicles;for each vehicle in the convoy, determining a local sequence of neighbor vehicles in the vehicle convoy communication network based on order in past history of the vehicles in the convoy communication network; andupon receipt of a message from any vehicle in the vehicle convoy, modifying the local sequence to reflect the revised order of the communicatively linked neighbor vehicles.

7. A method of determining order of neighbor vehicles for each vehicle in a vehicle convoy communication network, the method comprising: forming a vehicle convoy communication network;for each vehicle in the convoy, determining a local sequence of neighbor vehicles in the vehicle convoy communication network based on order in past history of the vehicles in the convoy communication network;upon receipt of a message from any vehicle in the vehicle convoy, modifying the local sequence to reflect the revised order of the communicatively linked neighbor vehicles into a best order, wherein the best order is determined based upon assignment of a fitness value based upon at least one of the following criteria: number of refused messages, history of radio strength, history of established connections, number of connection requests, or number of must connect requests; andrevising the local sequence so that the neighboring vehicles are in order of greatest fitness value to least fitness value.

8. The method of claim 7, further comprising: updating the past history based on a change in local sequence.

9. The method of claim 7, wherein determining a local sequence further comprises: determining other vehicles that can be communicated with in a single hop.

10. The method of claim 7, wherein modifying the local sequence further comprises: using probabilities on historical data and on a change in received messages to determine a change in the local sequence.

11. The method of claim 7, wherein modifying the local sequence is further based at least in part on one of receiving messages from vehicles that are not established as nodes within the current convoy, on not receiving messages from vehicles in the current convoy, and on a time period since a message was last received from a vehicle in the convoy.

12. A non-transitory processor readable storage medium which stores processor executable instructions to perform the following: forming a vehicle convoy communication network;for each vehicle in the convoy, determining a local sequence of neighbor vehicles in the vehicle convoy communication network based on order in past history of the vehicles in the convoy communication network;upon receipt of a message from any vehicle in the vehicle convoy, modifying the local sequence to reflect the revised order of the communicatively linked neighbor vehicles into a best order, wherein the best order is determined based upon assignment of a fitness value based upon at least one of the following criteria: number of refused messages, history of radio strength, history of established connections, number of connection requests, or number of must connect requests; andrevising the local sequence so that the neighboring vehicles are in order of greatest fitness value to least fitness value.

13. A system for determining order of neighbor vehicles for each vehicle in a vehicle convoy communication network, the system comprising: a processor; anda non-transitory processor readable storage medium containing instructions which are executable by the processor and perform the following: forming a vehicle convoy communication network including a lead vehicle, a rear vehicle, and one or more intermediate vehicles, wherein the lead vehicle, the rear vehicle, and the one or more intermediate vehicles are configured to intercommunicate, wherein connections between vehicles and neighboring vehicles are defined as link connections, wherein the maximum number of link connections are as follows: one for the lead vehicle, one for the rear vehicle, and two for each of the intermediate vehicles;for each vehicle in the convoy, determining a local sequence of neighbor vehicles in the vehicle convoy communication network based on order in past history of the vehicles in the convoy communication network; andupon receipt of a message from any vehicle in the vehicle convoy, modifying the local sequence to reflect the revised order of the communicatively linked neighbor vehicles.