An Optimized Strategy Coverage Control Algorithm for WSN

Abstract

The problem of using lesser wireless sensor network nodes to achieve coverage and connection of certain areas under given coverage conditions is a priority and hotspot issue of WSN. For this reason, in this paper, an optimized strategy coverage control (OSCC) algorithm is proposed. First of all, a relation mapping model of sensor nodes and target nodes is established by OSCC which is based on geometric figure and related theories, probability theory, converge property, and so forth to complete effective reasoning and calculate certain network models. Secondly, OSCC makes efficient analysis of the calculating results figure out the least number of sensor nodes to cover specific monitoring area. Thirdly, OSCC picks out the optimal routing solution while conducting combinatorial optimization of routing path using ant colony optimization (ACO) algorithm, thus reducing the energy spending of whole network. In the end, this paper verifies OSCC algorithm by simulation experiment and proves it can use least sensor nodes to effectively cover target area. Also, OSCC helps greatly reduce network energy consuming, minimize network resources layout costs, and enhance network life cycle, simultaneously.

Coverage Holes Compensation Algorithms Based on Event-Driven Strategy in Wireless Sensor Networks

“…Meanwhile, it can reduce the number of sensor nodes and complete the network connectivity. k-degree barrier coverage algorithm which is based on network lifetime maximization is proposed in the [15]. The algorithm provides coverage has the upper and lower solution method of theoretical significance; in the energy conversion of sensor nodes, the communication path between the sensor nodes are optimized by using a greedy algorithm, and ultimately achieve balance the network energy.…”

Optimization coverage conserving protocol with authentication in wireless sensor networks

“…1,2 As a result of the rapid development of information technology, a wireless sensor network can be applied in all types of engineering fields, such as military affairs, environmental monitoring, disaster relief, smart homes, health care, agricultural production, and transportation. 3,4 Energy consumption and coverage quality are the two key issues in wireless sensor network research, 5,6 the behavioral characteristic of which is the deployment of sensor nodes. The problem of energy consumption includes how to effectively suppress rapid energy consumption of sensor nodes to extend the network lifetime and improve Internet service.…”

A Novel Nonlinear Multitargetk-Degree Coverage Preservation Protocol in Wireless Sensor Networks

“…Two vital performance criteria that are required are coverage quality and energy management, which are also hot issues in the field of wireless sensor networks [11,12]. Coverage as its name implies means effectively covering the target nodes instead of the global monitored region.…”