Model and Implementation of Context-Aware Sensor Networks

Adaptive capabilities such as self-configuration and self-management were required by applications of wireless sensor networks (WSNs). We integrate the theory of context-aware computing with WSNs and propose a model of context-aware sensor networks (CASN). Based on their capability, sensor nodes in CASN can get information of environment. This information, together with other information collected by node, can be treated as contexts. Based on the context available, a node of CASN can adjust its behaviors accordingly or request/proved relevant services. In order to validate the model, we design a CASN system for monitoring environment which named as EMoCASN. The experimental results show that EMoCASN have better energy efficiency and adaptive capability compared with ordinary WSNs systems.