Efficient Data Aggregation in Mobile Wireless Sensor Networks

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Mohammadmoradi, Hessam Aldin | 2012

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 43949 (19)
University: Sharif University of Technology
Department: Computer Engineering
Advisor(s): Habibi, Jafar
Abstract:
Due to the advances in wireless communications and electronics over the last few years, the development of networks of low-cost, low-power, and multifunctional sensors has received increasing attention. Most important constraints of this network are energy and bandwidth. Data aggregation is one of the effective approaches for reducing energy consumption in wireless sensor networks. Recent research on data collection reveals that, rather than reporting data through long, multi-hop and error-prone routes to a static sink using tree or cluster network structure, allowing and leveraging sink mobility is more promising for energy efﬁcient data gathering. In this work we proposed an effective algorithm for clustering and routing in mobile wireless sensor networks which uses data aggregation in data collection. Our algorithm uses advantages of sink mobility a data aggregation for efficient energy consumption. We predict future data seeing previous reported data and navigate sink to event crowded areas aiming to reduce consumed energy in sensors
Keywords:
Wireless Sensor Network ; Moving Mesh ; Data Prediction

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