The Optimal Sink Position Selection Algorithm is proposed based on the maximum demands (OSPSA). In this algorithm the communication demands of the nodes and the communication failure probability between the nodes and the sinks are considered. The sinks multiply cover the key nodes to satisfy the maximum demands to improve the quality of service. Furthermore, the characteristics are analyzed in ...

Coverage pattern and deployment strategy are directly related to the optimum allocation of limited resources for wireless sensor networks, such as energy of nodes, communication bandwidth, and computing power, and quality improvement is largely determined by these for wireless sensor networks. A three-dimensional coverage pattern and deployment scheme are proposed in this paper. Firstly, by ana...

Adaptive confidence balls are constructed for individual resolution levels as well as the entire mean vector in a multiresolution framework. Finite sample lower bounds are given for the minimum expected squared radius for confidence balls with a prespecified confidence level. The confidence balls are centered on adaptive estimators based on special local block thresholding rules. The radius is ...

Sensor-based coverage uses sensor information to determine a path that passes a detector over all points in an unknown space. Our prior work in coverage prescribed a path for a circular robot of radius r to pass over all points in unknown spaces; in this case we set the detector range Æ to be equal to the robot's radius, r. Our prior work in Voronoi diagrams prescribed a path for a circular rob...

We consider the focused coverage self-deployment problem in mobile sensor networks, where an area with maximum radius around a Point of Interest (POI) must be covered without sensing holes. Li et al. [9][10] described several algorithms solving this problem. They showed that their algorithms terminate in finite time. We present a modified version of the Greedy-Rotation-Greedy (GRG) algorithm by...

Wireless sensor networks consist of a large number of low-power, short-lived, unreliable sensors. Developing a configuration for sensor sleeping is an effective approach for obtaining a long network lifetime without sacrificing crucial aspects of quality of service (sensing coverage and sensing reliability). In this report, two sensing models are investigated: boolean sensing model (BSM) and ge...