Resource management approach to an efficient wireless sensor network
LE3 .A278 2018
Master of Science
Energy consumption measurements have become an important prerequisite in the development of Wireless Sensor Network (WSN) applications. A WSN is a collection of sensors that communicate with each other and without the aid of human intervention. The WSN (comprising of hundreds of sensors) is usually deployed to remote locations to monitor physical phenomena such as humidity, temperature, and pressure. The sensors in WSN applications are usually powered by batteries. The lifeline of these sensors and the overall functionality in the WSN is dependent on the lifespan of the batteries. Redundancy is experienced in the WSN when many sensors are deployed to an area to monitor a phenomenon. These sensors give similar outputs for the monitored phenomenon. Redundancy leads to energy wastage. As energy is wasted by the sensors, the lifetime of the WSN is impacted negatively. Conservation of the battery power through an efficient utilization of the sensors is required so as to increase the lifetime of the WSN. In this thesis, an approach is proposed to reduce redundancy, achieve efficiency, and then extend the lifetime of the sensors in a WSN by introducing a Resource Management Algorithm (RMA) to the WSN. To demonstrate this approach, TOSSIM (TinyOS Simulator) compares two similar WSNs. One of the WSNs will have the RMA and the other WSN will not have the RMA.
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