Coverage by directional sensors in randomly deployed wireless sensor networks |
| |
Authors: | Jing Ai Alhussein A Abouzeid |
| |
Institution: | (1) Electrical, Computer and Systems Engineering Department, Rensselaer Polytechnic Institute, Troy, NY 12180, USA |
| |
Abstract: | We study a novel “coverage by directional sensors” problem with tunable orientations on a set of discrete targets. We propose
a Maximum Coverage with Minimum Sensors (MCMS) problem in which coverage in terms of the number of targets to be covered is
maximized whereas the number of sensors to be activated is minimized. We present its exact Integer Linear Programming (ILP)
formulation and an approximate (but computationally efficient) centralized greedy algorithm (CGA) solution. These centralized
solutions are used as baselines for comparison. Then we provide a distributed greedy algorithm (DGA) solution. By incorporating
a measure of the sensors residual energy into DGA, we further develop a Sensing Neighborhood Cooperative Sleeping (SNCS) protocol
which performs adaptive scheduling on a larger time scale. Finally, we evaluate the properties of the proposed solutions and
protocols in terms of providing coverage and maximizing network lifetime through extensive simulations. Moreover, for the
case of circular coverage, we compare against the best known existing coverage algorithm. |
| |
Keywords: | Directional sensors Mathematical programming/optimization Distributed algorithm Scheduling Network lifetime |
本文献已被 SpringerLink 等数据库收录! |
|