Bio-Inspired Load Balancing In Large-Scale WSNs Using Pheromone Signalling

Caliskanelli, I and Harbin, J and Indrusiak, L.S and Mitchell, P and Chesmore, D and Polack, F (2013) Bio-Inspired Load Balancing In Large-Scale WSNs Using Pheromone Signalling. International Journal of Distributed Sensor Networks, 2013.

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Wireless sensor networks (WSNs) consist of multiple, distributed nodes each with limited resources. With their strict resource constraints and application-specific characteristics, WSNs contain many challenging tradeoffs. This paper proposes a bioinspired load balancing approach, based on pheromone signalling mechanisms, to solve the tradeoff between service availability and energy consumption. We explore the performance consequences of the pheromone-based load balancing approach using (1) a system-level simulator, (2) deployment of real sensor testbeds to provide a competitive analysis of these evaluation methodologies. The effectiveness of the proposed algorithm is evaluated with different scenario parameters and the required performance evaluation techniques are investigated on case studies based on sound sensors.

Item Type: Article
Faculty / Department: Faculty of Science > Mathematics and Computer Science
Depositing User: Matt Butler
Date Deposited: 11 Apr 2016 13:53
Last Modified: 11 Apr 2016 13:53

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