An Improved Model for Coverage Optimization and Fault Tolerance in Agricultural Monitoring Using Wireless Sensor Networks

Abstract

Wireless Sensor Networks (WSN) having a large number of battery operated newlinelow-cost, low-power, and compact sensor nodes with limited memory and newlineprocessing, are a self-monitoring intelligent network system. Due to the technical newlinedevelopments in the areas of sensing, computation, and wireless transmission, WSN newlinehas emerged as a frontier in providing cost-effective, fully distributed, and rapid newlinesolution. Quality of Service (QoS) in terms of network connectivity and sensing newlinecoverage are the two most significant performance metrics for WSN. Entire network newlinesensing is measured by coverage. Whereas, connectivity measures transfer of data newlinebetween sensor nodes and/or to a central unit. The objective of this research is to newlinefocus on coverage optimization with fault-tolerance connectivity in a network newline