Manager Election of Power-Aware Wireless Sensor Networks Using Fuzzy Theory
Sensors and Materials · 2014
The power consumption rate and bandwidth of sensor nodes (SNs) in wireless sensor networks (WSNs) are important issues.For increasing the reliability of WSNs, in this paper, we propose a power-aware mechanism to select a stable cluster manager (CM) from SNs using fuzzy-based inference systems.Furthermore, our mechanism can trigger a mobile agent (MA) to distribute the managerial workload.