Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electronics and Communication

Wireless ad-hoc sensor networks have recently emerged as an important research topic. Accurate tracking of targets is a vital application of WSN in military as well as civil applications. In many tracking applications, one of the main issues for system design is that of sensor selection and scheduling, which aims to improve tracking accuracy and conserve resources by selecting the sensor that best contributes to the state estimate at any given time. This thesis focuses on developing sensor scheduling schemes for target tracking. Thesis objectives are to save energy while preserving accuracy and real time performance, and to achieve network lifetime elongation in target tracking. Two methods are proposed to enhance the performance. First method uses the k- means clustering algorithm and adaptive sensor scheduling. The second proposed method improves network lifetime by taking the sensor remaining energy into consideration. The use of K-means clustering method in sensor scheduling is meeting the required tracking accuracy without energy consumption degradation. In addition, the proposed scheme has the better real time performance compared to previously used methods. By taking the sensor remaining energy into account in sensor scheduling, accurate tracking is achieved with significant improvement in network lifetime

Issued also as CD