In mobile ad hoc networks (MANETs), omnidirectional antennas are commonly used, but they result in interference among neighboring nodes, higher power consumption, and limited transmission range. To address these issues, smart antennas are employed. Several protocols for medium access control (MAC) have been proposed that utilize smart antennas. Already in existence research has tackled challenges such as the hidden terminal problem, hidden beam issue, node deafness, and head-of-line blocking. However, certain aspects, like determining the weight vector and communicating it to neighboring nodes for a distortionless transmission, remain unaddressed. In this paper we have proposed Salp Swarm algorithm and have compared results with NULLMAC protocol. We found that our Salp Swarm Algorithm gives more better result than the existing protocol. We have measured results in terms of Delay, Throughput, PDR, Energy Efficiency, and routing Overhead.

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Mitigating Hidden Node and Deafness Challenges in Mobile Ad Hoc Networks Using Salp Swarm Algorithm

  • Diksha Pandey,
  • Anuja Singh,
  • Pradeep Kumar Verma,
  • Lalit Kumar,
  • Pankaj Vishwakarma,
  • Saumya Srivastava

摘要

In mobile ad hoc networks (MANETs), omnidirectional antennas are commonly used, but they result in interference among neighboring nodes, higher power consumption, and limited transmission range. To address these issues, smart antennas are employed. Several protocols for medium access control (MAC) have been proposed that utilize smart antennas. Already in existence research has tackled challenges such as the hidden terminal problem, hidden beam issue, node deafness, and head-of-line blocking. However, certain aspects, like determining the weight vector and communicating it to neighboring nodes for a distortionless transmission, remain unaddressed. In this paper we have proposed Salp Swarm algorithm and have compared results with NULLMAC protocol. We found that our Salp Swarm Algorithm gives more better result than the existing protocol. We have measured results in terms of Delay, Throughput, PDR, Energy Efficiency, and routing Overhead.