Augmented powell-based krill herd optimization for roadside unit deployment in vehicular ad hoc networks

D Saravanan, S Janakiraman… - … of Testing and …, 2019 - asmedigitalcollection.asme.org
D Saravanan, S Janakiraman, K Chandraprabha, T Kalaipriyan, RS Raghav, S Venkatesan
Journal of Testing and Evaluation, 2019asmedigitalcollection.asme.org
This article focuses on roadside unit (RSU) deployment based on the analysis of
aggregation delay causes between the accident-occurring location and the nearby RSU.
Information aggregation in vehicular ad hoc networks using RSU is one of the phenomenal
concepts that look ahead in today's recent advancements, since the consistency in
aggregation and dissemination of data in a volatile network is high when compared with
vehicle to vehicle communications. Deploying the RSU as appropriate in rural areas is cost …
Abstract
This article focuses on roadside unit (RSU) deployment based on the analysis of aggregation delay causes between the accident-occurring location and the nearby RSU. Information aggregation in vehicular ad hoc networks using RSU is one of the phenomenal concepts that look ahead in today’s recent advancements, since the consistency in aggregation and dissemination of data in a volatile network is high when compared with vehicle to vehicle communications. Deploying the RSU as appropriate in rural areas is cost-sensitive since the collection of information is not up to the mark when compared with urban regions. A mathematical model called Powell’s Method and a bioinspired algorithm, namely krill herd algorithm, have been hybridized and proposed in this research article for effective RSU deployment. The proposed algorithm has been tested under three different road maps, and the consistency of the algorithm has been evaluated under appropriate performance measures.
The American Society of Mechanical Engineers
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