A Coverage-Preserving Density Control Algorithm Based-on Cooperation in Wireless Sensor Networks

Abstract

Node density control is one of the most important measures to save energy consumption in large Wireless Sensor Networks (WSNs), and it aims to minimize the number of on-duty nodes when maintaining the original network coverage. In this paper, CPSBC, a coveragepreserving self-scheduling protocol is proposed. CPSBC is based on a new sensing model--Cooperative Sensing Model (CSM) other than traditional Boolean Sensing Model (BSM), and multi-sensors' cooperative exploration is considered in it. With CPSBC, sensor nodes that have minimum contribution on coverage and satisfy Coverage Preserving Rule meanwhile will be scheduled to fall in asleep in each round. It has been verified by simulation that CPSBC can keep the original network coverage with less on-duty nodes than BSM mechanisms, thus results in higher energy efficiency.

Probability-Based Coverage Algorithm for 3D Wireless Sensor Networks

“…If a target is at a distance d from a sensor, then it is detected by that sensor with probability e −α d , where the detection parameter α (α > 0)indicates the rate at which its detection probability diminishes with distance. For every two grid points i and j in the monitoring region, we define detection probability p ij to denote the probability that a target at grid point j is detected by a sensor at grid point i(see [8]). The presence of obstacles in the monitoring region is not taken into consideration, which means p ij = p ji .…”

“…Objective coverage based on grid is a universal coverage control approach for WSNs such as [7] and [8]. This approach is used to model the network with two-or threedimensional grid and complete regional / objective coverage by placing sensors on appropriate grid points when a pre-determined geographical environment is given [6].…”

Phased Waking Coverage Scheme Based on Hibernation of Redundant Nodes for Wireless Sensor Networks

“…However, BSM can not capture the degradation of a sensor's sensing capability as the distance increases which is reasonable for radio and acoustic signal sensor. Various degradation models of perception ability of sensor are developed in literatures [8,[13][14][15] which accord better with the characteristics of signal transmission in the environment monitoring system. The degradation sensing model in literature [8] is adopted in this article.…”

“…The first type of schemes is studied in literatures [5][6][7][8]. If a node's sensing area is covered by other active nodes' sensing area when maintaining the original network coverage, then the node can hibernate, where the original network coverage means the coverage of the entire network when all of nodes are active after deployment.…”

Cognitive node selection and assignment algorithms for weighted cooperative sensing in radar systems

“…Furthermore, Peh and Liang show in [4] that the optimum sensing performance is achieved by grouping those nodes having the highest received signal power on the primary spectrum to noise ratio (SNR). In [8], a protocol is proposed to keep the original network coverage with fewer on-duty nodes. Consequently, higher energy efficiency and lower signalling demand are achieved.…”