Reliability-Aware Multi-Objective Optimization-Based Routing Protocol for VANETs Using Enhanced Gaussian Mutation Harmony Searching


Vehicular Ad Hoc Networks, or VANETs, are a relatively new form of NetWorking that have the potential to be used in intelligent transportation systems. It is impossible to build dependable VANET networks without first implementing routing protocols. In this article, we propose a novel routing framework that we call Reliability Aware Multi-Objective Optimization Based VANETs (RAMO). The framework is comprised of three levels: the first level is a simulation of the VANET system; the second level consists of routing criteria that are dependent on reliability and geometrics; and the third level is the routing algorithm. The subsequent step involves the actual network. In addition, the framework has a reliability block, a geometrical block, and a routing block, each of which has its own set of parameters that are controlled by an optimization block. The optimization is shown from a multi-objective point of view and is based on the creation of an innovative variation of multi-objective harmony searching. This has been given the designation of Enhanced Gaussian Mutation Harmony Searching (EGMHS), and it is comprised of a harmony memory extraction algorithm in addition to Gaussian mutation and objective decomposition. The assessment was carried out based on two different levels. The first evaluation was an EGMHS evaluation, which consisted of nine benchmarking mathematical functions. The second evaluation was a RAMO evaluation, and it was based on the network simulator. The results obtained, which include set coverage, delta metric, hyper-volume, packet delivery ratio (PDR), and end-to-end (E2E) delay, show that EGMHS and RAMO with EGMHS perform significantly better than their baseline counterparts.

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