Abstract
A low energy clustering method of body area networks based on fuzzy simulated evolutionary computation is proposed in this paper. To reduce communication energy consumption, we also designed a fuzzy controller to dynamically adjust the crossover and mutation probability. Simulations are conducted by using the proposed method, the clustering methods based on the particle swarm optimization and the method based on the quantum evolutionary algorithm. Results show that the energy consumption of the proposed method decreased compared with the other two methods, which means that the proposed method significantly improves the energy efficiency.
Original language | English |
---|---|
Title of host publication | BodyNets 2015 |
Subtitle of host publication | Proceedings of the 10th EAI International Conference on Body Area Networks |
Place of Publication | New York |
Publisher | Association for Computing Machinery |
Pages | 221-227 |
Number of pages | 7 |
ISBN (Print) | 9781631900846 |
DOIs | |
Publication status | Published - 2015 |
Event | International Conference on Body Area Networks (10th : 2015) - Sydney Duration: 28 Sept 2015 → 30 Sept 2015 |
Conference
Conference | International Conference on Body Area Networks (10th : 2015) |
---|---|
City | Sydney |
Period | 28/09/15 → 30/09/15 |
Keywords
- wireless sensor networks
- simulated evolutionary computation
- fuzzy controller