Quality Improvement Techniques in WSN : A Review

Abstract

Wireless Sensor Networks are used for data sensing, processing the data and communicating with other sensor tools. The interface between user and the network is a sink or base station, the sink gathers information and results from the network which in turn can be retrieved by the user by injecting queries. The major problems in wireless sensor networks are data faults, functional faults, low efficient batteries, node misbehaviour. Various algorithms such as Genetic, Extended AODV, Bayesian, Distributed fault detection algorithms have been proposed to overcome these issues with high accuracy. The communication between the sensor nodes are improved using multicast routing algorithm .The sensor are powered by batteries which are of limited resources and often degrading ,this reduces the efficiency of sensors. Fault tolerances are also of major concern in wireless sensor networks which can be overcome by using best effort fault tolerance algorithm. Inspite of all the proposed algorithms, the performance degradation in WSN still exists. The goal of this paper is to suggest the way for improving the quality of WSN and discusses about various issues that are existing in the real time and its appropriate proposed methods with newer techniques and technology. Recent researches in wireless sensor networks are of great impact in various areas such as emergency navigation, environmental surveillance, traffic monitoring , condition based equipment maintenance ,habitat monitoring and disaster management.