Lifetime optimization for partial coverage in heterogeneous sensor networks

Coverage Quality in Visual Sensor Networks

Maximize the Coverage Lifetime of Sensor Networks

When deploying sensors in the field in order to collect useful information, one of the most important issues is how to prolong the lifetime of the network because of energy constraint of the sensors while guaranteeing that every point in the network is covered. In this paper, we propose the formulation of integer linear programming (ILP) model to find the optimal network flow in the sensor fiel...

Maintaining Differentiated Coverage in Heterogeneous Sensor Networks

Most existing research considers homogeneous sensor networks, which suffer from performance bottleneck and poor scalability. In this paper, we adopt a heterogeneous sensor network model to overcome these problems. Sensing coverage is a fundamental problem in sensor networks and has been well studied over the past years. However, most coverage algorithms only consider the uniform coverage proble...

Prolonging Network Lifetime for Target Coverage in Sensor Networks

Target coverage is a fundamental problem in sensor networks for environment monitoring and surveillance purposes. To prolong the network lifetime, a typical approach is to partition the sensors in a network for target monitoring into several disjoint subsets such that each subset can cover all the targets. Thus, each time only the sensors in one of such subsets are activated. It recently has be...

Improving Energy-Efficient Target Coverage in Visual Sensor Networks

Target coverage is one of the important problems in visual sensor networks. The coverage should be accompanied with an efficient use of energy in order to increase the network lifetime. In this paper, we address the maximum lifetime for visual sensor networks (MLV) problem by maximizing the network lifetime while covering all the targets. For this purpose, we develop a simulated annealing (SA) ...