Runtime optimisation in WSNs for load balancing using pheromone signalling
I. Caliskanelli, J. Harbin, L.S. Indrusiak, P. Mitchell, D. Chesmore and F. Polack
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 trade-offs. This paper proposes a bio-inspired load balancing approach, based on pheromone signalling mechanisms, to solve the trade-off 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.
BibTex Entry
@inproceedings{Caliskanelli2012,
author = {I. Caliskanelli and J. Harbin and L.S. Indrusiak and P. Mitchell and D. Chesmore and F. Polack},
booktitle = {Networked Embedded Systems for Every Application (NESEA), 2012 IEEE 3rd International Conference on},
doi = {10.1109/NESEA.2012.6474028},
keyword = {optimisation;routing protocols;wireless sensor networks;bio-inspired load balancing;distributed nodes;performance evaluation;pheromone based load balancing;pheromone signalling;real sensor testbed;runtime optimisation;sound sensors;system level simulator;task mapping;wireless sensor networks;Hardware;Load management;Load modeling;Peer to peer computing;Protocols;Routing;Wireless sensor networks;WSN;bio-inspired;load balancing;optimisation;prototype;system-level simulation},
pages = {1-8},
title = {Runtime optimisation in WSNs for load balancing using pheromone signalling},
year = {2012}
}