Prospecting Forecast of Target with Dynamic Sleep Scheduling in Wireless Sensor Network
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 4
Abstract
Wireless sensor networks are used in various large-scale sensor network systems for many purposes. There are many challenges in wireless sensor networks. In wireless sensor networks, sensor nodes are needed to deploy them in the environment dynamically, sense the information, and route the sensed information into the intended target. For all these purpose, sensor needs power. All sensor nodes use batteries for power. The prime motive of our work is to minimize the energy consumption level of the sensor node, when sensed information are moved to the target using sleep scheduling with accuracy of the target. Toward this objective, this study goes through a new energy-efficient protocol named Prospecting forecast of the target with dynamic sleep scheduling. We present a Prospecting Forecast of Target with Dynamic Sleep Scheduling protocol (PFTDSS) to improve energy efficiency with proactive wakeup. A cluster-based scheme is implemented for Prospecting forecast the target with dynamic sleep scheduling. At each time of duty cycle, only approximate sensor nodes of the cluster are activated that are located in the closeness to the target, whereas the other sensors nodes of the cluster and in sensor network are inactive. To wake up the most appropriate cluster and sensor nodes, we propose a non-myopic rule, which is used not only for where the target is located and also its further movement of the target is also predicted. Finally, the effectiveness of the proposed approach is evaluated and compared with the previous existing protocols in terms of tracking accuracy, inter-node communication, and computation complexity.
Authors and Affiliations
A. Hemalatha, D. Sasirekha
Keywords
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- EP ID EP21972
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