Path planning for data collectors in Precision Agriculture WSNs

Abstract

Precision Agriculture (PA) is a challenging application for Wireless Sensor Networks (WSNs). The network has to deal with large deployment areas, multiple surface terrains with diverse requirements on information gathering such as energy consumption, and these operations need to be mostly unattended. Mobile robots (data collectors) when used in WSNs of such demanding applications enable them to handle the limited communication ranges of these tiny sensors and simultaneously cater to multiple end-user requests. In this work, we present Cognitive Path Planning (CPP) for mobile Data Collectors (DC) in WSNs to efficiently collect the sensed data in a PA application. Energy consumption is the major attribute that impacts the performance of the proposed approach, and hence, it is our target in this paper.