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access icon free Binary grey wolf optimisation-based topology control for WSNs

  • Author(s): Sheetal N. Ghorpade 1 ; Marco Zennaro 2 ; Bharat S. Chaudhari 3
    • View affiliations
  • Source: Volume 9, Issue 6, December 2019, p. 333 – 339
    DOI:  10.1049/iet-wss.2018.5169 , Print ISSN 2043-6386, Online ISSN 2043-6394
© The Institution of Engineering and Technology
Received 11/09/2018, Accepted 27/08/2019, Revised 16/07/2019, Published 05/09/2019

Wireless sensor networks (WSNs) are composed of a large number of sensor nodes that are deployed at target locations. Topology control (TC) is one of the significant fundamental challenges in WSNs because of node energy and computing power constraints. TC algorithms try to produce reduced topology by preserving network connectivity. This study presents a novel TC algorithm based on binary Grey wolf optimisation. It uses the active and inactive schedules of sensor nodes in binary format as well as introduces fitness function to minimise the number of active nodes (ANs) for achieving the target of lifetime expansion of the nodes and network. The proposed algorithm is compared with other TC algorithms. The result reduces a minimum of 10% of ANs and energy consumption by 6.84%. The proposed approach also gives maximum coverage and connectivity. The designed fitness function also benefits in the process of selecting a node with low residual energy to join the active topology. The standard deviation in the remaining energy for the proposed algorithms is lower than the other TC schemes.

Inspec keywords: optimisation; telecommunication control; telecommunication power management; telecommunication network topology; power consumption; telecommunication scheduling; wireless sensor networks

Other keywords: WSN; fitness function; binary Grey wolf optimisation; lifetime expansion; network connectivity; wireless sensor networks; sensor nodes; energy consumption; active schedules; TC schemes; low residual energy; active topology; target locations; active nodes; topology control; node energy; binary format; inactive schedules

Subjects: Wireless sensor networks; Communication network design, planning and routing; Optimisation techniques; Telecommunication systems (energy utilisation); Control applications in radio and radar; Optimisation techniques

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