Karayiannis, N.B., “MECA: maximum entropy clustering algorithm,” Proceedings of the Third IEEE Conference on Fuzzy Systems, IEEE World Congress on Computational Intelligence, Vol. 1, 1994, pp. 630-635 doi 10.1109/FUZZY.1994.343658

has been cited by the following article:

• TITLE: Sensor Scheduling Algorithm Target Tracking-Oriented

  AUTHORS: Dongmei Yan, Jinkuan Wang

  KEYWORDS: Wireless Sensor Network, Sensor Scheduling, Target Tracking, Collaborative Signal Processing, Dynamic Clustering

  JOURNAL NAME: Wireless Sensor Network, Vol.3 No.8, August 22, 2011

  ABSTRACT: Target tracking is a challenging problem for wireless sensor networks because sensor nodes carry limited power recourses. Thus, scheduling of sensor nodes must focus on power conservation. It is possible to extend the lifetime of a network by dynamic clustering and duty cycling. Sensor Scheduling Algorithm Target Tracking-oriented is proposed in this paper. When the target occurs in the sensing filed, cluster and duty cycling algorithm is executed to scheduling sensor node to perform taking task. With the target moving, only one cluster is active, the other is in sleep state, which is efficient for conserving sensor nodes’ limited power. Using dynamic cluster and duty cycling technology can allocate efficiently sensor nodes’ limited energy and perform tasks coordinately.