2017_Microbial_Routing_iot.pdf (784.25 kB)
A microbial inspired routing protocol for VANETs
journal contribution
posted on 2023-06-09, 07:43 authored by Daxin Tian, Kunxian Zheng, Jianshan Zhou, Xuting Duan, Yunpeng Wang, Zhengguo ShengZhengguo Sheng, Qiang NiWe present a bio-inspired unicast routing protocol for vehicular Ad Hoc Networks which uses the cellular attractor selection mechanism to select next hops. The proposed unicast routing protocol based on attractor selecting (URAS) is an opportunistic routing protocol, which is able to change itself adaptively to the complex and dynamic environment by routing feedback packets. We further employ a multi-attribute decision-making strategy, the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), to reduce the number of redundant candidates for next-hop selection, so as to enhance the performance of attractor selection mechanism. Once the routing path is found, URAS maintains the current path or finds another better path adaptively based on the performance of current path, that is, it can self-evolution until the best routing path is found. Our simulation study compares the proposed solution with the state-of-the-art schemes, and shows the robustness and effectiveness of the proposed routing protocol and the significant performance improvement, in terms of packet delivery, end-to-end delay, and congestion, over the conventional method.
Funding
Bionic communications and networking for connected vehicles; G2114; Royal Society; IE160920
History
Publication status
- Published
File Version
- Accepted version
Journal
IEEE Internet of Things JournalISSN
2327-4662Publisher
Institute of Electrical and Electronics EngineersExternal DOI
Issue
4Volume
5Page range
2293-2903Department affiliated with
- Engineering and Design Publications
Research groups affiliated with
- Sensor Technology Research Centre Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2017-08-31First Open Access (FOA) Date
2017-08-31First Compliant Deposit (FCD) Date
2017-08-31Usage metrics
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