Using Physical-level Context Awareness to Improve Service Ranking in Wireless Sensor Network

With the fast-pacing deployment of wireless sensor network(WSN) services, service ranking becomes more and more important. However, current service ranking methods mostly ignore the physical-level quality variation, making service ranking inaccurate. To address this problem, in this paper we propose a novel QoS-based ranking approach for WSN services, which employs the physical-level context awareness to improve the WSN service ranking. We separately calculate QoS assessment of each candidate service from users’ perspective and physical-level context perspective. Through characterizing the impact of physical quality variation on QoS performance and user QoS assessment, a new scheme of QoS performance weighting is proposed to rank WSN candidate services. Experiments results show the effectiveness of our approach.