Energy Efficient Data Retrieval in Wireless Sensor Networks for Disaster Monitoring Applications

Occurrence of natural disasters is a major concern for people residing in disaster prone areas and this increases the need for Disaster Monitoring. Wireless Sensor Network (WSN) technology offers a better solution in disaster monitoring to facilitate effective rescue operations. WSNs have the capability of quick sensing and transmission of critical data and thus prove effective in reliable monitoring and rescue operations. As the networks are deployed in disaster prone regions, the power, storage resources are limited and data retrieval is the major concern. Many schemes like sleep-scheduling, collaborative sensing have been implemented to solve these issues. But, there are many limitations to enhance the network lifespan, network traffic and effective data retrieval associated with it. In this paper, we propose a novel collaborative sensing scheme along with duty cycling to enhance the lifetime of the network. Our mathematical evaluation prove the energy efficiency of our scheme for disaster applications in WSN.