Cluster-Head Election Using Fuzzy Logic for Wireless Sensor Networks
CNSR '05 Proceedings of the 3rd Annual Communication Networks and Services Research Conference
An Adaptive Genetic Fuzzy Multi-path Routing Protocol for Wireless Ad Hoc Networks
SNPD-SAWN '05 Proceedings of the Sixth International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing and First ACIS International Workshop on Self-Assembling Wireless Networks
Dynamic Multi-level Hierarchal Clustering Approach for Wireless Sensor Networks
UKSIM '09 Proceedings of the UKSim 2009: 11th International Conference on Computer Modelling and Simulation
Design challenges for energy-constrained ad hoc wireless networks
IEEE Wireless Communications
QoS-aware MAC protocols for wireless sensor networks: A survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
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In wireless sensor network, it is essential to find effective means for power control of randomly distributed nodes. In this paper, based on diverse receiving QoS parameters, a fuzzy algorithm for peer to peer power control of wireless sensor nodes is proposed. Simulation results show that the proposed algorithm reduces packet error rate (PER) and prolongs survival time of network, compared with fixed transmission power method. Thus, this fuzzy algorithm could realize reliable data transmission with low power consumption.