Comparison of different Energy Minimization Techniques in Wireless Sensor Network

Wireless Sensor Networks (WSN) is a set of sensor nodes that collects the information from environment and sends to the base station (Header node or Central Node).Wireless range of applications related to national security, surveillance, home and office application[1],habitat monitoring[2,3],health application[4,5],environment forecasting[6] and military etc. One important class of WSNs is wireless Ad-Hoc sensor networks, characterized by an Ad-Hoc or random sensor deployment method, where the sensor location is not known a priori. This applies when individual sensor placement is infeasible, such as in battlefields or in disaster areas. Generally, more sensors are deployed than required (As compared with the optimal placement) to perform the proposed task; this compensates for the lack of exact positioning and improves fault tolerance. The characteristics of a sensor network include limited resources, large and dense networks, and a dynamic topology. An important issue in sensor networks is power scarcity, driven in part by battery size and weight limitations. Mechanisms that optimize sensor energy utilization have a great impact on prolonging the network lifetime. In this paper different energy minimization techniques have been compared that are used in wireless sensor network.

[1]  Md. Golam Rashed,et al.  WEP: An Energy Efficient Protocol for Cluster Based Heterogeneous Wireless Sensor Network , 2011, ArXiv.

[2]  アーマン，ロバート.  No power wireless sensor , 2006 .

[3]  Azer Bestavros,et al.  SEP: A Stable Election Protocol for clustered heterogeneous wireless sensor networks , 2004 .

[4]  Mario Gerla,et al.  Clustering with power control , 1999, MILCOM 1999. IEEE Military Communications. Conference Proceedings (Cat. No.99CH36341).

[5]  N. Nikaein.  HARP - Hybrid ad hoc routing protocol , 2001 .

[6]  Subhankar Mishra,et al.  Energy Efficiency in AD HOC Networks , 2011 .

[7]  Wendi Heinzelman,et al.  Energy-efficient communication protocol for wireless microsensor networks , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[8]  Elizabeth M. Belding-Royer,et al.  A review of current routing protocols for ad hoc mobile wireless networks , 1999, IEEE Wirel. Commun..

[9]  Vikas Kawadia,et al.  Power control and clustering in ad hoc networks , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[10]  Anantha Chandrakasan,et al.  Low-power wireless sensor networks , 2001, VLSI Design 2001. Fourteenth International Conference on VLSI Design.

[11]  Edoardo S. Biagioni,et al.  The Application of Remote Sensor Technology To Assist the Recovery of Rare and Endangered Species , 2002, Int. J. High Perform. Comput. Appl..

[12]  Imrich Chlamtac,et al.  Energy Efficient Design of Wireless Ad Hoc Networks , 2002, NETWORKING.

[13]  Geber Ramalho,et al.  Ant system for the set covering problem , 2001, 2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236).

[14]  Miodrag Potkonjak,et al.  Smart kindergarten: sensor-based wireless networks for smart developmental problem-solving environments , 2001, MobiCom '01.

[15]  Dong Xuan,et al.  On Deploying Wireless Sensors to Achieve Both Coverage and Connectivity , 2006, 2009 5th International Conference on Wireless Communications, Networking and Mobile Computing.

[16]  Deborah Estrin,et al.  An energy-efficient MAC protocol for wireless sensor networks , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[17]  M. S. Corson,et al.  A highly adaptive distributed routing algorithm for mobile wireless networks , 1997, Proceedings of INFOCOM '97.

[18]  Zahra Rezaei,et al.  Energy Saving in Wireless Sensor Networks , 2012 .

[19]  Wendi B. Heinzelman,et al.  Optimal sensor management under energy and reliability constraints , 2003, 2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003..

[20]  Cauligi S. Raghavendra,et al.  PEGASIS: Power-efficient gathering in sensor information systems , 2002, Proceedings, IEEE Aerospace Conference.

[21]  Nidal Nasser,et al.  Comparison of Clustering Algorithms and Protocols for Wireless Sensor Networks , 2006, 2006 Canadian Conference on Electrical and Computer Engineering.

[22]  Ian F. Akyildiz,et al.  Sensor Networks , 2002, Encyclopedia of GIS.

[23]  M. Luccini,et al.  Algorithms for Node Clustering in Wireless Sensor Networks: A Survey , 2008, 2008 4th International Conference on Information and Automation for Sustainability.

[24]  Gregory A. Hansen,et al.  The Optimized Link State Routing Protocol , 2003 .

[25]  Weili Wu,et al.  Energy-efficient target coverage in wireless sensor networks , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[26]  Philippe Jacquet,et al.  Optimized Link State Routing Protocol (OLSR) , 2003, RFC.

[27]  Roger Wattenhofer,et al.  An Algorithmic Approach to Geographic Routing in Ad Hoc and Sensor Networks , 2008, IEEE/ACM Transactions on Networking.

[28]  Gregory J. Pottie,et al.  Protocols for self-organization of a wireless sensor network , 2000, IEEE Wirel. Commun..

[29]  Jiang,et al.  Energy saving in wireless sensor networks , 2009 .

[30]  Sandeep K. S. Gupta,et al.  Research challenges in wireless networks of biomedical sensors , 2001, MobiCom '01.

[31]  Arun K. Pujari,et al.  Q-Coverage Problem in Wireless Sensor Networks , 2009, ICDCN.

[32]  Emin Gün Sirer,et al.  SHARP: a hybrid adaptive routing protocol for mobile ad hoc networks , 2003, MobiHoc '03.

[33]  M. Potkonjak,et al.  Low Power 0 / 1 Coverage and Scheduling Techniques in Sensor Networks , 2003 .

[34]  Nazma Tara,et al.  Energy-Efficient Target Coverage in Wireless Sensor Networks Based on Modified Ant Colony Algorithm , 2010 .

[35]  D. Dechene,et al.  A Survey of Clustering Algorithms for Wireless Sensor Networks , 2006 .

[36]  John Anderson,et al.  Wireless sensor networks for habitat monitoring , 2002, WSNA '02.

[37]  Jerry Zhao,et al.  Habitat monitoring: application driver for wireless communications technology , 2001, CCRV.

[38]  Anthony Ephremides,et al.  The Architectural Organization of a Mobile Radio Network via a Distributed Algorithm , 1981, IEEE Trans. Commun..

[39]  Swarup Bhunia,et al.  A Special Issue on 23rd IEEE International Conference on VLSI Design, Bangalore, India, 3-7 January 2010 , 2010, J. Low Power Electron..

[40]  J. Broch,et al.  Dynamic source routing in ad hoc wireless networks , 1998 .

[41]  David A. Maltz,et al.  A performance comparison of multi-hop wireless ad hoc network routing protocols , 1998, MobiCom '98.

[42]  Panayiotis Kotzanikolaou,et al.  Solving coverage problems in wireless sensor networks using cover sets , 2010, Ad Hoc Networks.

[43]  Charles E. Perkins,et al.  Highly dynamic Destination-Sequenced Distance-Vector routing (DSDV) for mobile computers , 1994, SIGCOMM.

[44]  Jiguo Yu,et al.  Energy efficient clustering and routing scheme for wireless sensor networks , 2009, 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems.

[45]  David A. Maltz,et al.  Dynamic Source Routing in Ad Hoc Wireless Networks , 1994, Mobidata.

[46]  Charles E. Perkins,et al.  Ad-hoc on-demand distance vector routing , 1999, Proceedings WMCSA'99. Second IEEE Workshop on Mobile Computing Systems and Applications.

[47]  Guiran Chang,et al.  Efficient Cover Set Selection in Wireless Sensor Networks , 2008 .

[48]  Makoto Takizawa,et al.  A Survey on Clustering Algorithms for Wireless Sensor Networks , 2010, 2010 13th International Conference on Network-Based Information Systems.