An energy-aware service composition framework for service-oriented wireless sensor networks

Unlike the web services which are software-based and supported with adequate resources, service composition in wireless sensor network is affected by the limited power supply, residual memory and computational ability of the heterogeneous sensor node. In this paper, we proposed an energy-aware service composition framework for developing various applications in the service-oriented heterogeneous wireless sensor network. We have exploited two different energy-aware metrics: energy-aware load-balancing and overall energy consumption. With both the metrics, we have formulated the process of energy-aware sensor service composition into a combinatorial optimization problem and proposed an improved discrete particle swarm optimization (IDPSO) algorithm to compute the optimal service route. Through simulation of energy-aware service composition, we demonstrate that the performance of the service route given by IDPSO is approximately equal to the best service route searched out by the exhaustive composition algorithm. The experiment results have shown that our proposed method is able to reduce the energy consumption, prolong the lifetime of the sensor network and provide stable service composition for various applications.