Neuro‐fuzzy and fuzzy schemes for cooperative communication in wireless sensor network: a military battlefield scenario. Issue 21 (16th February 2021)

• Record Type: Journal Article
• Authors: Jain, Nitin Kumar; Yadav, Dharmendra Singh; Verma, Ajay
• Is Part Of: IET communications. Volume 14:Issue 21(2020)
• Page Start: 3761
• Page End: 3770
• Publication Date: 2021-02-16
• Subjects: wireless sensor networks -- energy consumption -- cooperative communication -- error statistics -- military communication -- telecommunication power management -- neural nets -- telecommunication computing -- relay networks (telecommunication); network survivability -- average network energy -- dead nodes -- military battlefield scenario -- energy constraint wireless sensor network -- neuro‐fuzzy based relay selection schemes -- BER -- uninterrupted communication -- military nodes -- minimum energy consumption‐based relay selection -- random relay selection strategies -- network lifetime -- RRS strategies -- MRERS strategy -- bit error rate -- maximum residual energy‐based relay selection -- warfare situation -- cooperative WSN; Telecommunication systems -- Periodicals; Speech processing systems -- Periodicals; 621.38205
• DOI: 10.1049/iet-com.2020.0011
• Languages: English
• ISSNs: 1751-8628

Abstract

Abstract : In the military battlefield, maintaining high survivability of energy constraint wireless sensor network (WSN) when some nodes are destroyed by the foe troops is one of the prominent issues for the researchers. This study proposes the fuzzy and neuro‐fuzzy based relay selection schemes for cooperative WSN which reduce the bit error rate (BER) while improving the network lifetime. Meanwhile, the proposed model maintains the uninterrupted communication between military nodes in a warfare situation. The proposed proposed strategies are compared with the maximum residual energy‐based relay selection (MRERS), minimum energy consumption‐based relay selection (MECRS), and random relay selection (RRS) strategies. The performance of the proposed and existing strategies is evaluated on the basis of BER, network lifetime, number of dead nodes, and average energy of nodes in the network. The simulation results demonstrate that proposed schemes has 13.19–19.28% improvement in BER than the existing strategies. Moreover, 76.00–90.88% network lifetime improves when compared with the MECRS and RRS strategies. However, 6–7.76% is less than MRERS strategy. Furthermore, the results show that network survivability and average network energy is also better when the number of dead nodes in the network increases.