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Encounter probability-based adaptive opportunistic forwarding method applied in vehicular Ad Hoc network

A vehicle-mounted self-organization and encounter probability technology, applied in the field of wireless communication, can solve the problems of low message delivery rate and large network load, and achieve the effect of improving delivery rate, improving effectiveness, strong purpose and accuracy

Active Publication Date: 2018-11-23
CHANGAN UNIV
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  • Claims
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Problems solved by technology

[0005] Aiming at the deficiencies in the prior art, the purpose of the present invention is to provide an adaptive chance forwarding method based on encounter probability in the vehicular ad hoc network to solve the problem of heavy network load and message delivery in the prior art when the node density is high. low rate problem

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  • Encounter probability-based adaptive opportunistic forwarding method applied in vehicular Ad Hoc network
  • Encounter probability-based adaptive opportunistic forwarding method applied in vehicular Ad Hoc network
  • Encounter probability-based adaptive opportunistic forwarding method applied in vehicular Ad Hoc network

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Embodiment 1

[0041] Such as image 3 As shown, this embodiment provides an adaptive opportunistic forwarding method based on encounter probability in a vehicular ad hoc network, including the following steps:

[0042] Step 1, choose a vehicle in the vehicle network as the requesting vehicle node s, suppose the requesting vehicle node s generates a message m and needs to forward the message to the destination node d;

[0043] Step 2, assume that the requesting vehicle node s encounters a candidate forwarding node r during the moving process;

[0044] If the predicted value p of the encounter probability between the candidate forwarding node r and the destination node d is (r, d) greater than the predicted value p of the encounter probability between the requesting vehicle node s and the destination node d (s, d), then execute step 3; otherwise execute step 4;

[0045] In this embodiment, the predicted value p of the encounter probability between the candidate forwarding node r and the de...

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Abstract

The invention provides an encounter probability-based adaptive opportunistic forwarding method applied in a vehicular Ad Hoc network. The method comprises the steps that any one vehicle is selected from the vehicular network to serve as a request vehicle node, and the request vehicle node is set to generate a message and need to forward the message to a destination node; if an encounter probability prediction value of a candidate forwarding node and the destination node is greater than that of the request vehicle node and the destination node, the step 3 is executed; the encounter lasting timeof the request vehicle node and the candidate forwarding node is predicted, and if the encounter lasting time of the request vehicle node and the candidate forwarding node is longer than a thresholdTmin, the request vehicle node forwards the message to the candidate forwarding node; if the message forwarding time is longer than a preset updating cycle, the message is forwarded to a roadside unitand then forwarded to a vehicle node passing through the roadside unit by the roadside unit; and if the message forwarding time T is longer than an updating cycle, the request vehicle node continuesto move.

Description

technical field [0001] The invention belongs to the field of wireless communication, and in particular relates to an adaptive opportunistic forwarding method based on encounter probability in a vehicle ad hoc network. Background technique [0002] Vehicular Ad-hoc Networks (VANETs) is an important part of ITS. VANETs is a new type of mobile ad hoc network (Mobile Ad-hoc Networks, MANETs) applied on the road. The network nodes are composed of vehicles driving on the road and road side units (Road Side Unit, RSU). VANETs enable wireless communication between vehicles traveling at high speeds, and between vehicles and RSUs. VANETs have very important practical significance in the dissemination of various service data. The safety category mainly includes traffic warning based on traffic accidents and traffic jams; the non-safety category mainly includes vehicle assisted driving, news browsing, Internet access, and value-added services. , games, car video and consulting service...

Claims

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Application Information

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IPC IPC(8): H04W16/22H04W28/02H04W40/12H04W40/22H04W84/18
CPCH04W16/225H04W28/0289H04W40/12H04W40/22H04W84/18
Inventor 段宗涛朱依水杨阳董鸣唐蕾樊娜江华
Owner CHANGAN UNIV
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