Temperature-Aware Density Optimization for Low Power Wireless Sensor Networks

High temperatures negatively affect the quality of radio communication links both at transmission and reception sides. In this paper, we investigate the effect of temperature on connectivity and show that more energy can be saved by allowing some nodes to go to deep sleep mode when temperature decreases and links improve. We propose a simple and fully distributed temperature-aware algorithm that dynamically adapts the network effective density to allow further energy savings while maintaining network connectivity.