On-Line Multi-Energy Optimization With Hybrid MAC Mechanism in Clustered Wireless Sensor Networks
Energy consumption remains one of the main challenges in WSN applications. To prolong the network lifetime, this paper researches the effect of battery energy renewing in Wireless Sensor Networks (WSNs) from energy scavenging among sensors and battery recovery effect through appropriate idle time. On these bases, the authors propose a joint optimization scheme to promote energy efficiency. They do efforts in several aspects. First, they research energy scavenging from network RF energy in WSNs with a clustered architecture; analyze the geometric relation between different nodes and the resulting energy recharging. Secondly, they study the battery recovery through duty cycle selecting. They utilize a prediction model to capture the recovery effect with the consideration of saturation threshold.