Energy Conservation Challenges in Wireless Sensor Networks: A Comprehensive Study
Suraiya Tarannum
DOI: 10.4236/wsn.2010.26060   PDF   HTML     6,266 Downloads   12,144 Views   Citations


A Wireless Sensor Network (WSN) consists of a large number of randomly deployed sensor nodes. These sensor nodes organize themselves into a cooperative network and perform the three basic functions of sensing, computations and communications. Research in WSNs has become an extensive explorative area during the last few years, especially due to the challenges offered, energy constraints of the sensors being one of them. In this paper, a thorough comprehensive study of the energy conservation challenges in wireless sensor networks is carried out. The need for effective utilization of limited power resources is also emphasized, which becomes pre-eminent to the Wireless Sensor Networks.

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S. Tarannum, "Energy Conservation Challenges in Wireless Sensor Networks: A Comprehensive Study," Wireless Sensor Network, Vol. 2 No. 6, 2010, pp. 483-491. doi: 10.4236/wsn.2010.26060.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] I. F. Akylidiz, W. L. Su, Y. Sankarasubramaniam and E. Cayirci, “Wireless Sensor Networks: A Survey on Sensor Networks,” IEEE Communications Magazine, Vol. 40, No. 8, 2002, pp. 102-114.
[2] D. Estrin, R. Govindan, J. Heidemann and S. Kumar, “Next Century Challenges: Scalable Coordination in Sensor Networks,” Proceedings of the ACM/IEEE International Conference on Mobile Computing and Networking, Seattle, Washington, USA, August 1999, pp. 263-270.
[3] P. B. Chun, N. R. Lo, E. Berg and K. S. J. Pister, “Optical Communication Using Micro-Corner Cube Reflectors,” Proceedings of the 10th IEEE International Micro Electro Mechanical Systems Conference (MEMS’97), Vol. 40, No. 8, 1997, pp. 350-355.
[4] G. Pottie and W. Kaiser, “Wireless Integrated Network Sensors,” Communications of the ACM, Vol. 43, No. 5, 2000, pp. 51-58.
[5] H. Hashemi, “The Indoor Radio Propagation Channel,” Proceedings of IEEE, Vol. 81, No. 7, 1993, pp. 943-968.
[6] H. Baltes et al., “Micromachined Thermally Based CMOS Microsensors,” Proceedings of IEEE, Vol. 86, No. 8, 1998, pp. 1660-1678.
[7] D. Culler, D. Estrin and M. Srivastava, “Overview of Sensor Networks,” IEEE Computer, Vol. 37, No. 8, 2004, pp. 41-49.
[8] S. Tarannum, D. Prakash, S. George, B. V. Tara, S. Ushe, L. Nalini, K. R. Venugopal and L. M. Patnaik, “Consolidate and Advance: An Efficient QoS Management in Heterogeneous Wireless Sensor Networks,” IEEE ICSCN 2008, Chennai, January 2008, pp. 93-98.
[9] B. Akan, Y. Sankarasubramaniam and I. F. Akyildiz, “ESRT: Event-to-Sink Reliable Transport in Wireless Sensor Networks,” Proceedings of the 4th ACM International Symposium on Mobile Ad Hoc Networking and Computing, Annapolis, Maryland, USA, 2003, pp. 177- 188.
[10] M. Kuorilehto, M. Hännikäinen and T. D. Hämäläinen, “A Survey of Application Distribution in Wireless Sensor Networks,” EURASIP Journal on Wireless Communications and Networking, Vol. 2005, No. 5, 2005, pp. 774- 788.
[11] S. Meyer and A. Rakotonirainy, “A Survey of Research on Context-Aware Homes,” Workshop on Wearable, Invisible, Context-Aware, Ambient, Pervasive and Ubiquitous Computing, Adelaide, 2003, pp. 159-168.
[12] B. Warneke, M. Last, B. Liebowitz and K. S. J. Pister, “Smart Dust: Communicating with a Cubic-Millimeter Computer,” Computer Magazine, Vol. 34, No. 1, 2002, pp. 44-51.
[13] V. Hsu, M. Kahn and K. Pister, “Wireless Communication for Smart Dust,” Electronic Research Laboratory Technical Memorandum, February 1998.
[14] A. G. Ruzzellli, R. Tynan, M. J. O’Grady and G. M. P. O’Hare, “Advances in Wireless Sensor Networks,” Ency- clopaedia of Mobile Computing and Commerce (EMCC), Vol. 1, 2006, pp. 1-12.
[15] D. C. Steere, A. Baptista, D. McNamee, C. Pu and J. Walpole, “Research Challenges in Environmental Observation and Forecasting Systems,” Proceedings of the 6th Annual International Conference on Mobile Computing and Networking, Boston, Massachusetts, United States, 2000, pp. 292-299.
[16] E. Biagioni and K. Bridges, “The Application of Remote Sensor Technology to Assist the Recovery of Rare and Endangered Species,” In Special Issue on Distributed Sensor Networks for the International Journal of High Performance Computing Applications, Vol. 16, No. 3, 2002, pp. 315-324.
[17] A. Cerpa, J. Elson, D. Estrin, L. Girod, M. Hamilton and J. Zhao, “Habitat Monitoring: Application Driver for Wireless Communications Technology,” Proceedings of the 2001 ACM SIGCOMM Workshop on Data Communications in Latin America and the Caribbean, San Jose, Costa Rica, April 2001, pp. 20-41.
[18] A. Mainwaring, J. Polastre, R. Szewczyk, D. Culler and J. Anderson, “Wireless Sensor Networks for Habitat Monitoring,” In ACM International Workshop on Wireless Sensor Networks and Applications (WSNA’02), Atlanta, September 2002, pp. 88-97.
[19] H. Wang, J. Elson, L. Girod, D. Estrin and K. Yao, “Target Classification and Localization in Habitat Monitoring,” Proceedings of the IEEE ICASSP’03, Hong Kong, April 2003, pp. 597-600.
[20] L. Schwiebert, S. K. S. Gupta and J. Weinmann, “Research Challenges in Wireless Networks of Biomedical Sensors,” Mobile Computing and Networking, Rome, Italy, 2001, pp. 151-165.
[21] M. Eltoweissy, M. Younis, K. Akkaya and A. Wadaa, “On Handling QoS Traffic in Wireless Sensor Networks,” Proceedings of the 37th Annual Hawaii International Conference on System Science, Hawaii, 2004, pp. 5-8.
[22] M. Ilyas and I. Mahgoub, “Handbook of Sensor Networks: Compact Wireless and Wired Sensing Systems,” CRC Press, Boca Raton, 2005.
[23] S. Tarannum, S. Aravinda, L. Nalini, K. R. Venugopal and L. M. Patnaik, “Routing Protocol for Lifetime Maximization of Wireless Sensor Networks,” International Journal on Information Processing, Vol. 1, No. 2, 2007, pp. 58-67.
[24] T. Nieberg, S. Dulman, P. Havinga, L. Hoesel and J. Wu, “Collaborative Algorithms for Communication in Wireless Sensor Networks,” University of Twente, Nederlands, 2003.
[25] J. N. A. Karaki and A. E. Kamal, “Routing Techniques in Wireless Sensor Networks: A Survey,” IEEE on Wireless Communications, Vol. 11, No. 6, 2004, pp. 6-28.
[26] M. Yebari, T. Addali, A. Z. Sadouq and M. Essaaidi, “Energy Conservation Challenges in Wireless Sensor Networks: A State-of-The-Art Study,” International Journal on Information and Communication Technologies, Vol. 1, No. 2, 2008, pp. 29-35.
[27] Y. Yao and J. Gehrke, “The Cougar Approach to In- Network Query Processing in Sensor Networks,” SIGMOD Record, September 2002.
[28] S. Tarannum, S. Srividya, D. S. Asha and K. R. Venugopal, “Dynamic Hierarchical Communication Paradigm for Wireless Sensor Networks: A Centralized, Energy Efficient Approach,” Wireless Sensor Networks, Vol. 1, No. 4, 2009, pp. 340-349.
[29] S. Tarannum, V. Anitha, A. Priya, K. R. Venugopal and L. M. Patnaik, “Self-Healing AntChain for Increasing Lifespan in Wireless Sensor Networks,” International Engineering and Technology (IETECH) Journal of Com- munication Techniques, Vol. 2, No. 4, 2008, pp. 239-246.
[30] A. Vargas, “OMNET ++ Discrete Event Simulator System,” Version 2.3 Edition, 2003.

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