Energy efficient clustering in wireless sensor networks.
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Energy efficient clustering in wireless sensor networks.

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Published .
Written in English


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Clustering has been shown to be an effective architecture to prolong network lifetime in energy-limited wireless sensor networks. In this thesis, we provide analytical frameworks to study clustering performance for two different types of wireless sensor networks. First, using rate distortion theory and random geometry results, we study the impact of partially correlated data on clustering when data sinks are stationary. Our analysis in this case leads to the Non-Uniform Clustering algorithm which substantially enhances network lifetime. Second, we propose to use clustering for wireless sensor networks with mobile agents (C-SENMA) in order to reduce energy consumption and the latency of data collection. Our proposed clustering architecture uses a novel low overhead MAC scheme based on the multi-packet reception capability of the reachback channel. We further verify through analysis and simulation that C-SENMA performs better than the flat topology which has been proposed earlier for sensor networks with mobile agents.

The Physical Object
Pagination87 leaves.
Number of Pages87
ID Numbers
Open LibraryOL19512535M
ISBN 100612953475

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Clustering is an efficient technique for saving energy of wireless sensor networks (WSNs). In this paper, a Gravitational Search Algorithm (GSA) based approach has . Wireless sensor networks (WSNs) are employed in various applications from healthcare to military. Due to their limited, tiny power sources, energy becomes the most precious resource for sensor nodes in such networks. To optimize the usage of energy resources, researchers have proposed several ideas from diversified angles. Clustering of nodes plays an important role in Author: I.S. Akila, S.V. Manisekaran, R. Venkatesan. Clustering and routing algorithms for wireless sensor networks: Energy efficient approaches Book January with 24 Reads How we measure 'reads'. Energy efficient clustering and routing are two well known optimization problems which have been studied widely to extend lifetime of wireless sensor networks (WSNs). This paper presents Linear/Nonlinear Programming (LP/NLP) formulations of these problems followed by two proposed algorithms for the same based on particle swarm optimization (PSO).Cited by:

  P. Ding, J. Holliday, A. Celik, Distributed energy-efficient hierarchical clustering for wireless sensor networks, in Proceedings of the First IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS’05 (Springer, Berlin/Heidelberg, ), pp. – Google ScholarCited by: 3. Energy-Efficient Wireless Sensor Networks - CRC Press Book This is the first book that introduces the energy efficient wireless sensor network techniques and protocols. The text covers the theoretical as well as the practical requirements to conduct and trigger new experiments and project ideas. The advanced techniques will help in. S. Bandyopadhyay and E. J. Coyle, An Energy Efficient Clustering Algorithm for Wireless Sensor Networks, In Proceeding of INFOCOM , April (). Google Scholar [15]Cited by:   Wireless sensor network (WSN) consists of densely distributed nodes that are deployed to observe and react to events within the sensor field. In WSNs, energy management and network lifetime optimization are major issues in the designing of routing protocols. Clustering is an efficient data gathering technique that effectively reduces the energy consumption by Cited by:

Book Description. Wireless Sensor Networks have a wide range of applications in different areas. Their main constraint is the limited and irreplaceable power source of the sensor nodes. In many applications, energy conservation of the sensor nodes and their replacement or replenishment due to the hostile nature of the environment is the most. An Energy-Efficient Multilevel Clustering Algorithm for Heterogeneous Wireless Sensor Networks: /ch Wireless Sensor Networks (WSNs) are generally believed to be homogeneous, but some sensor nodes of higher energy can Cited by: 6. Introduction. Energy Efficient MAC (Medium Access Control) Protocols for Wireless Sensor Networks. Energy Efficient Routing Protocols. Energy Efficient Clustering. Power Management in Sensor Node. Energy Harvesting Issues in Wireless Sensor Network (WSN). Energy Efficient Data Aggregation in WSN. Security and Energy Issues. Energy Efficient Clustering Algorithms in Wireless Sensor Networks-An Analytical View 1Labisha R.V, 2Baburaj E 1, Research Scholar, Anna University, [email protected] *2, Professor, Sun College of Engineering and Technology, [email protected] Abstract The most imperative ambiguity in Wireless Sensor Networks (WSNs) is energy Size: KB.