Landslide prediction and early warning system is an improtant application where sensor networks can be deployed to minimize loss of life and property. Due to the dense deployment of sensors in landslide prone areas, clustering is an efficient approach to reduce redundant communicationfrom co-located sensors. In this paper we propose two distributed clustering and multi-hop routing protocols, CAMP and HBVR, for this problem. While CAMP is a new clustering and routing protocol, HBVR is an enhancement of BVR with HEED. We further enhance CAMP and HBVR with TEEN, a threshold based event driven protocol. TEEN is most suitable protocol for this application since different rock types can have different thresholds for stress values. Simulation results show that CAMP-TEEN gives the best performance with respect to network life time and energy consumption.
INTRODUCTIONApplications of Wireless Sensor Networks (WSN) range from military and health to habitat monitoring due to their ability to communicate untethered over short distances, their small size, low-cost and low-power consumption. Since WSN operates on batteries, the lifetime of WSN is energy-constrained. Good localization algorithms and routing protocols can increase the lifetime of WSN [1]. In the conventional approach, the design of the localization algorithm and the routing protocol are carried out independently. In this paper, we explore routing protocol whose metric is influenced by the localization algorithm. In a loose sense, we are investigating joint localization and routing, and thereby, are improving the energy efficiency of the network.
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