Energy efficient clustering in wireless sensor networks.

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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.
ID Numbers
Open LibraryOL19512535M
ISBN 100612953475

Wireless sensor networks have a wide range of applications in the field of Civil, Industrial, Health, Agriculture, Home Automation, Military and other areas. In a clustered network, the nodes are grouped into clusters each having a co-ordinator called cluster head (CH) responsible for collecting the data from all the nodes present in each : Azad Puneet.

This is the first book that introduces the energy efficient wireless sensor network techniques and protocols. The text covers the theoretical Energy efficient clustering in wireless sensor networks. book well as the practical requirements to conduct and trigger new experiments and project ideas.

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The advanced techniques will help in industrial problem solving for energy-hungry wireless sensor network Price: $ 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. Bandyopadhyay and E. Coyle, An Energy Efficient Clustering Algorithm for Wireless Sensor Networks, In Proceeding of INFOCOMApril ().

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.

Description Energy efficient clustering in wireless sensor networks. EPUB

Wireless Energy efficient clustering in wireless sensor networks. book 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.

An Energy Efficient Hierarchical Clustering Algorithm for Wireless Sensor Networks Seema Bandyopadhyay and Edward J. Coyle School of Electrical and Computer Engineering Purdue University West Lafayette, IN, USA {seema, coyle}@ Abstract— A wireless network consisting of a large number of.

1 Introduction to Energy-Efficient Wireless Sensor Networks. VIDUSHI SHARMA AND ANURADHA PUGHAT. 2 Medium Access Control in Wireless Sensor Networks. VIDUSHI SHARMA, GAYATRI SAKYA, AND ANURADHA PUGHAT. 3 Routing in Wireless Sensor Networks. VINAY KUMAR SINGH. 4 Clustering for Energy Efficiency in Wireless Sensor.

Wireless sensor network (WSN) refers to a group of spatially dispersed and dedicated sensors for monitoring and recording the physical conditions of the environment and organizing the collected data at a central measure environmental conditions like temperature, sound, pollution levels, humidity, wind, and so on.

These are similar to wireless ad hoc networks in. In this authors proposed an energy efficient clustering algorithm which based on virtual area partition in heterogeneous networks environment where the maximal transmission power of each node may be different.

Authors found that VAP-E can balance the load between clusters, enhance the energy efficiency of sensor nodes, prolong the. Even if one cluster head dies, it will affect the working of the network. By choosing dynamic cluster head, this problem can be eliminated. LEACH is an example of clustering protocol for wireless sensor network which consider homogeneous sensor networks where all sensor nodes are designed with the same battery energy.

Wireless Sensor Networks (WSNs) can be defined as a self-configured and infrastructure-less wireless networks to monitor physical or environmental conditions, such as temperature, sound, vibration, pressure, motion or pollutants and to cooperatively pass their data through the network to a main location or sink where the data can be observed and by: Secure and Energy-Efficient Routing for Cluster-Based Wireless Sensor Networks: /ch Security is a prime concern in the resource constrained wireless sensor networks.

Traditional cryptographic mechanisms cannot be used with these networks dueAuthor: Meenakshi Tripathi, M. Gaur, Vijay Laxmi, Ramesh Battula. Energy efficient clustering schemes for WSN are widely discussed in the literature. The objective of clustering is the effective topology management and intracluster routing.

A fuzzy based clustering protocol is proposed for enhancing energy-efficiency in wireless sensor networks that combines both clustering method and fuzzy logic. Mobility Cited by: The energy utilization of sensor nodes in large scale wireless sensor network points out the crucial need for scalable and energy efficient clustering protocols.

Since sensor nodes usually operate on batteries, the maximum utility of network is greatly dependent on ideal usage of energy leftover in these sensor by: 4. This book provides a systematic treatment of the theoretical foundation and algorithmic tools necessary in the design of energy-efficient algorithms and protocols in wireless body sensor networks (WBSNs).

These problems addressed in the book are. In wireless sensor networks, the energy consumed by each node of the network influences the lifetime of the networks, more than the consumption of energy increases more than the lifetime of the networks decreases, this is why the increase of the lifetime of the networks requires a strategy (protocol) which reduces the power consumption of the transmission or reception of data by Cited by: 3.

In wireless sensors networks (WSNs) the efficient use of the sensors’ energy is a key point to extend the network lifetime and has been the center of attention by many researchers. Clustering formation is an important technique used to reduce the sensor’s energy consumption.

However, finding an optimal clustering in. CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Abstract—In this paper, we propose an energy efficient cluster based communication protocol for wireless sensor network.

Our protocol considers both the residual energy of sensor nodes and the distance of each node from the BS when selecting cluster-head.

This protocol can successfully prolong. In this paper, we propose a distributed, randomized clustering algorithm to organize the sensors in a wireless sensor network into clusters.

We then extend this algorithm to generate a hierarchy of clusterheads and observe that the energy savings increase with the number of.

This paper presents an energy-efficient communication protocol which distributes a uniform energy load to the sensors in a wireless microsensor network. This protocol, called Energy and Distance-Based Clustering (EDBC), our protocol considers both the residual energy of sensor nodes and the distance of each node from the BS when selecting.

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Wireless sensor networks (WSN) are one of the significant technologies due to their diverse applications such as health care monitoring, smart phones, military, disaster management, and other surveillance systems. Sensor nodes are usually deployed in large number that work independently in unattended harsh environments.

Due to constraint resources, typically the Cited by:. Title:A Novel Probability Function for Energy-Efficient Clustering Protocol in Wireless Sensor Networks VOLUME: 2 ISSUE: 2 Author(s):Sofiane Moad, Kamel Moad, Yassine Hadjadj-Aoul and Aomar Maddi Affiliation:IRISA/INRIA, Campus de Beaulieu, Rennes Cedex, Rennes, France.

Keywords:Wireless senor networks, energy-efficient, clusterhead, : Sofiane Moad, Kamel Moad, Yassine Hadjadj-Aoul, Aomar Maddi.energy-efficient competitive clustering algorithm for wireless sensor networks using mobile sink,‖ In this paper, a controlled mobile sink node is considered and to improve the network performance, sink mobility is ombined with the clustering algorithm[12].

T. Kang, J. Yun, and K. Han, ―A clustering method for energy efficient routing in.Abstract—Energy efficiency is a vital issue in wireless sensor networks. In this paper, an energy efficient routing algorithm has been proposed with an aim to enhance lifetime of network.

In this paper, Fuzzy C-Means clustering has been used to form optimum number of static clusters. A concept of coherence is used to.