A backbone-based communication scheduling scheme for wireless sensor networks

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Qing, Fanghui
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Computer Science

Computer Science—the theory, representation, processing, communication and use of information—is fundamentally transforming every aspect of human endeavor. The Department of Computer Science at Iowa State University advances computational and information sciences through; 1. educational and research programs within and beyond the university; 2. active engagement to help define national and international research, and 3. educational agendas, and sustained commitment to graduating leaders for academia, industry and government.

The Computer Science Department was officially established in 1969, with Robert Stewart serving as the founding Department Chair. Faculty were composed of joint appointments with Mathematics, Statistics, and Electrical Engineering. In 1969, the building which now houses the Computer Science department, then simply called the Computer Science building, was completed. Later it was named Atanasoff Hall. Throughout the 1980s to present, the department expanded and developed its teaching and research agendas to cover many areas of computing.

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Prolonging network lifetime and retaining maximum communication fidelity are important to many applications of ad-hoc wireless sensor networks. Many energy-efficient communication protocols have been proposed to allow as many sensors as possible to be in idling. Typically, these techniques reduce energy consumption by minimizing the number of transmission packets and the size of each packet. However, recent researches have shown that energy consumed by the sensors in idling state is not negligible. In this research, we address this problem with a novel Backbone-based Communication Scheduling (BCS) technique. This scheme reduces the idling energy dissipation by keeping only a small set of sensors active at any time and leaving the rest of them in sleeping. The active sensors form a communication backbone that maintains the communication fidelity of the entire network. The backbone nodes are rotated with a highly efficient backbone election algorithm to balance the energy consumption of the sensors in the whole network. Our simulations results show that the proposed scheme can significantly extend the network lifetime without compromising the communication fidelity.

Sat Jan 01 00:00:00 UTC 2005