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Intelligent energy aware optimization protocol for vehicular adhoc networks.

Mohamed Elhoseny1, Ibrahim M El-Hasnony2, Zahraa Tarek1

  • 1Faculty of Computers and Information, Mansoura University, Mansoura, Egypt.

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This study introduces an intelligent energy-aware clustering protocol for vehicular adhoc networks (VANETs). The new method enhances network lifetime and efficiency by optimizing cluster head selection using a metaheuristic algorithm.

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Area of Science:

  • Intelligent transportation systems
  • Wireless communication networks
  • Optimization algorithms

Background:

  • Vehicular adhoc networks (VANETs) are crucial for smart transportation, enabling vehicle-to-vehicle communication.
  • Efficient energy management in VANETs is essential due to limited resources.
  • Existing energy-aware clustering protocols often require enhancement for optimal performance.

Purpose of the Study:

  • To propose an intelligent energy-aware clustering protocol for VANETs.
  • To enhance cluster head selection efficiency and network performance.
  • To improve energy efficiency and network lifetime in VANETs.

Main Methods:

  • Developed an intelligent energy-aware oppositional chaos game optimization-based clustering (IEAOCGO-C) protocol.
  • Utilized oppositional-based learning (OBL) integrated with the chaos game optimization (CGO) algorithm for cluster construction.
  • Employed a fitness function incorporating throughput (THRPT), packet delivery ratio (PDR), network lifetime (NLT), end-to-end delay (ETED), and energy consumption (ECM).

Main Results:

  • The IEAOCGO-C protocol demonstrated superior performance compared to existing methods.
  • Achieved maximal network lifetime (NLT) of 4480 and maximal throughput (THRPT) of 81.6.
  • Resulted in minimal energy consumption (ECM) of 65.6 and minimal end-to-end delay (ETED) of 6.7, with a maximal packet delivery ratio (PDR) of 84.5.

Conclusions:

  • The proposed IEAOCGO-C protocol effectively optimizes cluster head selection in VANETs.
  • IEAOCGO-C significantly improves key performance metrics including energy efficiency, network lifetime, and data transmission reliability.
  • The intelligent clustering approach offers a promising solution for enhancing VANET performance in smart transportation applications.