Heuristic Approach for Discovery and Recovery of Faulty Node in Wireless Sensor Networks

Abstract

Wireless Sensor Networks (WSN) is one of high technology domains with large number of applications in various disciplines. WSN must need to provide a guaranteed Quality of Service (QOS) in real time application. To increase QOS large number of portable sensor nodes are deployed. These QOS get reduced because of increase in the failure of a sensor node due to battery failure, environmental effects, hardware and software malfunctions. So a novel approach is introduced for determining specific discrete Round Trip Path (RTP) which will improve the efficiency by enabling parallel analysis of such RTPs. During data analysis, the data will be excluded not only from faulty node but also from malfunction node. After detecting the faulty node it should be removed or replaced by nodes within the network. This will improve the QOS of the whole network. Also this proposed method is implemented to other topologies in this paper. The feasibility of the design has been proved by NS2 simulation.

A data estimation for failing nodes using fuzzy logic with integrated microcontroller in wireless sensor networks

“…Most of the researches mentioned above made attempts to solve the node failure problem from one aspect; either by predicting data from lost node (like the work in [6] ) or finding "the most suitable node" to replace the failing node (as in the work in [21] ). The work of [22] focused on handling nodes in a WSN that is opted for weather forecast.…”