Investigations on random direction Aware rssi based optimized path Planning techniques for wireless Sensor networks

Abstract

In recent years, wireless sensor networks (WSN) have become newlineubiquitous in almost every aspect of life. With the inherent ability to detect newlinecritical distinct physical and environmental phenomena, this technology has newlineprogressed to the point that it is now the de-facto strategy for networked and newlineearly warning systems across a variety of industrial domains. WSN ushers in newlinea new age of discrete tracking of physical and environmental conditions. newlineDisaster management can save lives by assisting remote areas that are newlineunmanned and in uninhabitable harsh environments. newlineThe rapid and technological growth of WSN in the fields of newlinesensing, computing, and communication has been aided by the availability of newlineintegrated hybrid, miniaturized, and custom Application Specific Integrated newlineCircuit (ASIC) devices. The sensor nodes, which are made up of distributed newlinediscrete sensory components, are critical to WSN s realization. These sensor newlinenodes collect data from the sensor in real time and are also applicable for newlinelocating the node through the use of Global Positioning System (GPS). Most newlineapplications use mobile nodes instead of equipping GPS in all devices. These newlinefew mobile nodes are equipped with GPS and traverse around the network newlinearea to locate all the other nodes. GPS mounted nodes are called Mobile newlineAnchor (MA). newlineIn earlier days, most of the research works utilizes pre deterministic newlinepath arrangement of MA. This causes MA to acquire a longer path length newlinewhen it is traversed around the network. This in turn gives greater impact on newlinetime required to reach target nodes and coverage of nodes newline