Abstract
Wireless sensor nodes are battery-powered communication devices. Their limited capabilities have imposed various constraints to the system design of wireless sensor networks (WSNs). These constraints are interrelated, and are usually in conflict with each other. Clustering is often used to reduce energy consumption in WSNs. However, an arbitrary selection of clustering parameters may lead to severe degradation in other aspects, such as extra delays in data collection processes (DCPs). In this paper, a multi-objective optimization (MOO) framework for cluster-based WSNs is proposed. The proposed framework considers both the energy consumption and the duration of a DCP as its objective functions. Simulation results show that networks optimized using the proposed framework can obtain reasonable trade-offs between the two objectives. Nevertheless, the networks optimized using the proposed framework can obtain non-dominated solutions that cannot be achieved by using energy-aware clustering algorithms.
Original language | English |
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Title of host publication | Proceedings of the 2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2012 |
Pages | 341-347 |
Number of pages | 7 |
DOIs | |
Publication status | Published - 1 Dec 2012 |
Event | 4th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2012 - Sanya, China Duration: 10 Oct 2012 → 12 Oct 2012 |
Conference
Conference | 4th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2012 |
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Country/Territory | China |
City | Sanya |
Period | 10/10/12 → 12/10/12 |
Keywords
- Clustering
- Multi-objective Optimization
- Non-dominated Solutions
- Wireless Sensor Networks
ASJC Scopus subject areas
- Software