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access icon free Swarm intelligence-based energy-efficient data delivery in WSAN to virtualise IoT in smart cities

© The Institution of Engineering and Technology
Received 21/10/2017, Accepted 29/08/2018, Revised 26/07/2018, Published 30/08/2018

With the rapid implementation and expansion of the Internet of things (IoT) technologies in smart cities, network congestion control and energy-efficient routing in wireless sensor and actuator networks (WSANs) for virtualising IoT have emerged as a crucial area of research in recent years. This study implements the particle swarm optimisation (PSO) algorithm to realise network congestion control and energy-efficient routing in the transport layer of WSANs. This algorithm is based on the flocking behaviour of birds. The simulation results show that the proposed PSO-based approach provides better performance in terms of network lifetime and packet drop ratio compared with the ant colony optimisation and the artificial bee colony algorithm.

Inspec keywords: Internet of Things; smart cities; wireless sensor networks; ant colony optimisation; swarm intelligence; telecommunication congestion control; telecommunication power management; energy conservation; particle swarm optimisation; actuators; telecommunication network routing

Other keywords: packet drop ratio; PSO-based approach; ant colony optimisation; artificial bee colony algorithm; swarm intelligence-based energy-efficient data delivery; smart cities; WSAN; network congestion control; particle swarm optimisation algorithm; energy-efficient routing; network lifetime; Internet of Things technologies; wireless sensor and actuator networks; IoT virtualisation

Subjects: Telecommunication systems (energy utilisation); Control applications in radio and radar; Optimisation techniques; Wireless sensor networks; Computer networks and techniques; Communication network design, planning and routing; Computer communications; Optimisation techniques; Control applications in data transmission; Expert systems and other AI software and techniques

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