CFP last date
20 June 2024
Reseach Article

Article:Review on Protocol based Approaches to Extend Lifetime of Wireless Sensor Networks

by Sharad Saxena, Dr. Shailendra Mishra, Dr. A. K. Sharma, Dr. D. S. Chauhan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 11 - Number 6
Year of Publication: 2010
Authors: Sharad Saxena, Dr. Shailendra Mishra, Dr. A. K. Sharma, Dr. D. S. Chauhan
10.5120/1586-2126

Sharad Saxena, Dr. Shailendra Mishra, Dr. A. K. Sharma, Dr. D. S. Chauhan . Article:Review on Protocol based Approaches to Extend Lifetime of Wireless Sensor Networks. International Journal of Computer Applications. 11, 6 ( December 2010), 23-29. DOI=10.5120/1586-2126

@article{ 10.5120/1586-2126,
author = { Sharad Saxena, Dr. Shailendra Mishra, Dr. A. K. Sharma, Dr. D. S. Chauhan },
title = { Article:Review on Protocol based Approaches to Extend Lifetime of Wireless Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { December 2010 },
volume = { 11 },
number = { 6 },
month = { December },
year = { 2010 },
issn = { 0975-8887 },
pages = { 23-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume11/number6/1586-2126/ },
doi = { 10.5120/1586-2126 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:59:51.900295+05:30
%A Sharad Saxena
%A Dr. Shailendra Mishra
%A Dr. A. K. Sharma
%A Dr. D. S. Chauhan
%T Article:Review on Protocol based Approaches to Extend Lifetime of Wireless Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 11
%N 6
%P 23-29
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Researchers in wireless Micro-sensor networks (M-WSN) have proposed various protocols for energy conservations. Each protocol is aimed to optimize power utilization in wireless sensor networks. The different protocol approaches optimize power consumption either considering their application areas or network topologies. This paper studies various energy-saving protocols for micro sensor networks and presents their brief classifications. An M-WSN is a group of hundreds or thousands of small energy-limited sensors that are densely deployed in a large geographical region. These micro sensors in sensor network are autonomous devices responsible for forwarding locally collected data to a central node called sink node by following multi-hop wireless paths. The sink node performs data fusion to form a single meaningful result. The micro sensors work by utilizing limited battery-power, the considerable part is to use this power for a maximum time. Although recent developments in electronics has enabled the development of low-cost & low-power sensors networks, still there is a challenging job of energy conservation optimization within the wireless sensor networks (WSNs).

References
  1. A. Deshpande, S. Madden, and MauveDB: supporting model-based user views in database systems, in: Proc. 25th ACM International Conference on Management of Data (SIGMOD’06), Chicago (IL), USA, June 27–29, 2006, pp. 73–84.
  2. A. Ephremides, O. Mowafi, Analysis of a hybrid access scheme for buffered user probabilistic time division, IEEE Transactions on Software Engineering 8 (1) (1982) 52–61.
  3. A. Keshavarzian, H. Lee, L. Venkatraman, Wakeup scheduling in wireless sensor networks, in: Proc. ACM Mobi Hoc 2006, Florence Italy, May 2006, pp. 322–333.
  4. B. Hohlt, E. Brewer, Network power scheduling for tiny OS applications”, in: Proc. 2nd IEEE/ACM International Conference on Distributed Computing in Sensor Systems (DCOSS’06), San Francisco, California, June 2006.
  5. Bashir Yahya and Jalel Ben-Othman , Towards a classification of energy aware MAC protocols for wireless sensor networks WIRELESS COMMUNICATIONS AND MOBILE COMPUTING Wirel. Commun. Mob. Comput. 2009; 9:1572–1607 Published online 4 February 2009 in Wiley InterScience
  6. C. Guo, L. Charlie, Low power distributed MAC for ad hoc sensor radio networks, in: Proc. IEEE Globecom, 2001.
  7. C. Schurgers, V. Tsiatsis, M.B. Srivastava, STEM: topology management for energy efficient sensor networks, in: IEEE Aerospace Conference’02, Big Sky, MT, March 10–15, 2002.
  8. C. Schurgers, V. Tsiatsis, S. Ganeriwal, M.B. Srivastava, Optimizing sensor networks in the energy-latency-density design space, IEEE Transactions on Mobile Computing 1 (1) (2002) 70–8s0.
  9. D. Ganesan, A. Cerpa, W. Ye, Y. Yu, J. Zhao, D. Estrin, Networking issues in wireless sensor networks, Journal of Parallel and Distributed Computing 64 (2004) 799–814.
  10. D.R. Stinson, Combinatorial Designs: Construction and Analysis, Springer, 2003.
  11. G. Anastasi, E. Borgia, M. Conti, E. Gregori, A. Passarella, Understanding the real behavior of 802.11 and mote ad hoc networks, Pervasive and Mobile Computing 1 (2) (2005)
  12. G. Anastasi, M. Conti, M. Di Francesco, A. Passarella, How to prolong the lifetime of wireless sensor networks”, in: M. Denko, L. Yang (Eds.), Mobile Ad hoc and Pervasive Communications, American Scientific Publishers, in press (Chapter 6). http://info.iet.unipi.it/ ~anastasi /papers /Yang.pdf.
  13. G. Anastasi, M. Conti, M. Di Francesco, A. Passarella, An adaptive and low-latency power management protocol for wireless sensor networks, in: Proc 4th ACM International Workshop on Mobility Management and Wireless Access (MobiWac 2006), Torremolinos, Spain, October 2, 2006.
  14. I. Demirkol, C. Ersoy, and F. Alagoz, MAC Protocols for Wireless Sensor Networks: A Survey, IEEE Communications Magazine , April 2006
  15. IEEE Pervasive Computing, Energy Harvesting and Conservation, vol. 4, issue 1, January–March 2005.
  16. I.F. Akyildiz, W. Su, Y. Sankarasubramaniam, E. Cayirci, Wireless sensor networks: a survey, Computer Networks 38 (4) (2002).
  17. I. Rhee, A. Warrier, M Aia, J. Min, Z-MAC: a hybrid MAC for wireless sensor networks, in: Proc. ACM SenSys 2005, S Diego, USA, November 2005.
  18. J. Rabaey, J. Ammer, T. Karalar, S. Li, B. Otis, M. Sheets, T. Tuan, Picoradios for wireless sensor networks: the next challenge in 566 G. Anastasi et al. / Ad Hoc Networks 7 (2009) 537–568 ultra-low-power design, in: Proc. International Solid-State Circuits Conference, San Francisco, CA, February 3–7, 2002.
  19. J. R. Jiang, Y. C. Tsang, C.S. Hsu, T. H. Lai, Quorum-Based Asynchronous Power-Saving Protocols for IEEE 802.11 Ad Hoc, Proceedings of the 2003 International Conference on Parallel Processing (ICPP’03) 2003 IEEE.
  20. L. Gu, J. Stankovic, Radio-triggered wake-up for wireless sensor networks, Real-Time Systems Journal 29 (2005) 157–182.
  21. L. Wang, Kai Liu, An adaptive energy efficient and low-latency Mac protocol for wireless sensor networks, IEEE 2007.
  22. L. Zhang and Z. Wang, Integration of RFID into Wireless Sensor Networks: Architectures, Opportunities and Challenging Problems Proceedings of the Fifth International Conference on Grid and Cooperative Computing Workshops (GCCW'06) IEEE 2006
  23. Mário Macedo, António Grilo, Mário Nunes, Distributed Latency-Energy Minimization and interference avoidance in TDMA Wireless Sensor Networks, Elsevier Journal on Computer Networks 53 (2009) 569–582
  24. P. Buonadonna, D. Gay, J. Hellerstein, W. Hong, S. Madden, TASK: sensor network in a box, in: Proc. European Workshop on Sensor Networks (EWSN 2005), January 2005.
  25. P. P. Czapski, A Survey: MAC Protocols For Applications Of Wireless Sensor Networks, IEEE 2006.
  26. R. Willett, A. Martin, R. Nowak, Backcasting: adaptive sampling for sensor networks, in: Proc. Third International Symposium on Information Processing in Sensor Networks (IPSN 2004), 26–27 April, 2004, pp. 124–133.
  27. R. Zheng, J. Hou, L. Sha, Asynchronous wakeup for ad hoc networks, in: Proc. ACM Mobi Hoc 2003, Annapolis, USA, June 1–3, 2003, pp. 35–45.
  28. S. C. Ergen, P. Varaiya, TDMA scheduling algorithms for wireless sensor networks, Springer Wireless Network (2010) 16:985–997.
  29. S. Goel, A. Passarella, T. Imielinski, Using buddies to live longer in a boring world, in: Proc. IEEE International Workshop on Sensor Networks and Systems for Pervasive Computing (PerSeNS 2006), Pisa, Italy, March 13, 2006.
  30. S. Madden, M. Franklin, J. Hellerstein, W. Hong, TAG: a tiny aggregation service for ad hoc sensor networks, in: Proc. Annual Symposium on Operating Systems Design and Implementation (OSDI), 2002.
  31. S. Madden, M.J. Franklin, J.M. Hellerstein, W. Hong, TinyDB: an acquisitional query processing system for sensor networks, ACM Transactions on Database Systems 30 (1) (2005) 122–173.
  32. Singh S, Raghavendra C. PAMAS: power aware multi-access protocol with signaling for ad hoc networks. SIGCOMM Computer Communications Review 1998; 28(3): 5–26
  33. T.Armstrong, Wake-up based power management in multi-hop wireless networks. http://www.eecg.toronto. edutrevor/Wakeup/index.html.
  34. T.V. Dam and K. Langendoen, An adaptive energy-efficient MAC protocol for wireless sensor networks, in: The First ACM Conference on Embedded Networked Sensor Systems (Sensys‘03), Los Angeles, CA, USA, November 2003.
  35. V. Paruchuri, S. Basavaraju, R. Kannan, S. Iyengar, Random asynchronous wakeup protocol for sensor networks, in: Proc. IEEE International Conference on Broadband Networks (BROADNETS 2004), 2004.
  36. V. Raghunathan, C. Schurghers, S. Park, M. Srivastava, Energy-aware wireless micro sensor networks, IEEE Signal Processing Magazine (2002) 40–50.
  37. W. L. Lee, A Datta FlexiTP: A Flexible-Schedule-Based TDMA Protocol for Fault-Tolerant and Energy-Efficient Wireless Sensor Networks IEEE Transactions on Parallel and Distributed System, vol 19, No 6, June 2008.
  38. W. Ye, J. Heidemann, D. Estrin, Medium access control with coordinated adaptive sleeping for wireless sensor networks, IEEE/ACM Transactions on Networking 12 (3) (2004) 493–506.
  39. X. Yang, N. Vaidya, A wakeup scheme for sensor networks: achieving balance between energy saving and end-to-end delay, in: Proc. IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS 2004), 2004, pp. 19–26.
Index Terms

Computer Science
Information Sciences

Keywords

sensor network duty cycle protocol data aggregation fusion