Title: Spider monkey optimisation based energy efficient clustering in heterogeneous underwater wireless sensor networks
Authors: Madhuri Rao; Narendra Kumar Kamila
Addresses: Department of Computer Science, Siksha 'O' Anusandhan University, Bhubaneswar, Odisha, 751030, India ' Department of Computer Science, C.V. Raman College of Engineering, Bhubaneswar, Odisha, India
Abstract: Multi-hop propagation is not viable in Underwater Wireless Sensor Network that uses acoustic signals. It causes more energy drainage of the network nodes due to longer delays in signal propagation. Also, UWSN is prone to dynamic topology changes due to node mobility caused by water current. It leads to transmission errors, link loss, collisions and congestion, if not well handled. A clustering approach based on spider monkey optimisation (SMO) is proposed here that addresses these issues. The proposed approach is found to enhance the average network lifetime of nodes by 0.01579 J and achieves a network gain of 1.35%. Further a significant reduction in average delay of messaging packets by 19.82% is achieved. The proposed approach is far more optimised as it reduces the average hops between sender and receiver by 20%.
Keywords: heterogeneous underwater wireless sensor networks; dynamic clusters; SMO; spider monkey optimisation; FFSS; fission-fusion social structure.
International Journal of Ad Hoc and Ubiquitous Computing, 2018 Vol.29 No.1/2, pp.50 - 63
Received: 09 Sep 2017
Accepted: 25 Jan 2018
Published online: 26 Aug 2018 *