2018
DOI: 10.3390/s18041287
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How to Stop Disagreeing and Start Cooperatingin the Presence of Asymmetric Packet Loss

Abstract: We consider the design of a disagreement correction protocol in multi-vehicle systems. Vehicles broadcast in real-time vital information such as position, direction, speed, acceleration, intention, etc. This information is then used to identify the risks and adapt their trajectory to maintain the highest performance without compromising the safety. To minimize the risk due to the use of inconsistent information, all cooperating vehicles must agree whether to use the exchanged information to operate in a cooper… Show more

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Cited by 2 publications
(3 citation statements)
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“…More generally, in the context of self-stabilization there are algorithms for group communications [19][20][21], consensus in shared-memory systems [18], wireless communications [27,29,30,[37][38][39][40], software defined networks [8,9], virtual infrastructure for mobile nodes [16,17,45], to name a few.…”
Section: Self-stabilizing Solutionsmentioning
confidence: 99%
“…More generally, in the context of self-stabilization there are algorithms for group communications [19][20][21], consensus in shared-memory systems [18], wireless communications [27,29,30,[37][38][39][40], software defined networks [8,9], virtual infrastructure for mobile nodes [16,17,45], to name a few.…”
Section: Self-stabilizing Solutionsmentioning
confidence: 99%
“…However, it is again a consensus problem and consequently there is no deterministic algorithm that can solve it. However, we can minimize the number of rounds where robots do not agree using the protocol proposed in [8]. In this protocol, when a robot does not receive a message at round r from another robot or when it receives AUT ONOMOUS operation mode from any other robot, then it changes its operation mode to AUT ONOMOUS.…”
Section: Membership and Synchronizer Servicementioning
confidence: 99%
“…We consider wireless networks where messages can be dropped at any time which makes it impossible to attain common knowledge deterministically. To overcome the impossibility, we consider the stream consensus protocol proposed by Morales-Ponce et al, [8] that guarantees common knowledge at almost every time with period of disagreement of bounded length.…”
Section: Introductionmentioning
confidence: 99%