Self - Organizing and Coverage Recovery Techniques for Wireless Sensor Networks

Self - Organizing and Coverage Recovery Techniques for Wireless Sensor Networks

The major issue of a Wireless Sensor Network (WSN), is to provide sufficient and uninterrupted coverage, to provide this heterogeneous sensors are used. Sensors have wide range of sensing capability is called heterogeneous sensors. In order to enable Sensor-Self Deployment these sensor nodes were made movable. The protocol used to increase the efficiency of the system and to reduce the power co...

Routing Hole Handling Techniques for Wireless Sensor Networks: A Review

A Wireless Sensor Network consists of several tiny devices which have the capability to sense and compute the environmental phenomenon. These sensor nodes are deployed in remote areas without any physical protections. A Wireless Sensor Network can have various types of anomalies due to some random deployment of nodes, obstruction and physical destructions. These anomalies can diminish the sensi...

Algorithms for Self-Organizing Wireless Sensor Networks

Classification and Comparison of Methods for Discovering Coverage Loss Areas in Wireless Sensor Networks

In recent years, wireless sensor networks data is taken into consideration as an ideal source, in terms of speed, accuracy and cost, in order to study the Earth's surface. One of the most important challenges in this area, is the signaling network coverage and finding holes. In recent years, wireless sensor networks data is taken into consideration as an ideal source, in terms of speed, accurac...

Distributed and Cooperative Compressive Sensing Recovery Algorithm for Wireless Sensor Networks with Bi-directional Incremental Topology

Recently, the problem of compressive sensing (CS) has attracted lots of attention in the area of signal processing. So, much of the research in this field is being carried out in this issue. One of the applications where CS could be used is wireless sensor networks (WSNs). The structure of WSNs consists of many low power wireless sensors. This requires that any improved algorithm for this appli...