Energy distribution-aware clustering algorithm for dense wireless sensor networks

International Journal of Communication Systems

Volumn 23, Issue 9-10, 2010, Pages 1223-1251

  Fang, Shudong ^a   Berber, Stevan Mirko ^a   Swain, Akshya Kumar ^a  

^a UNIVERSITY OF AUCKLAND   (New Zealand)

Author keywords

Clustering algorithm; Energy distribution; Wireless sensor networks

Indexed keywords

CLUSTER HEAD; ENERGY DISTRIBUTIONS; EXTENSIVE SIMULATIONS; GAUSSIANS; NETWORK DENSITY; NETWORK LIFETIME; NETWORK TOPOLOGY; NODE DEPLOYMENT; RESIDUAL ENERGY; TIME INTERVAL; WIRELESS SENSOR;

COMPUTER SIMULATION; ELECTRIC NETWORK TOPOLOGY; ELECTRIC POWER DISTRIBUTION; ION BEAMS; PROBABILITY DISTRIBUTIONS; SENSOR NETWORKS; SENSOR NODES; TELECOMMUNICATION EQUIPMENT; WIRELESS SENSOR NETWORKS;

CLUSTERING ALGORITHMS;

EID: 77956369299     PISSN: 10745351     EISSN: 10991131     Source Type: Journal    
DOI: 10.1002/dac.1103     Document Type: Article

References (32)

1. Chong CY, Kumar SP. Sensor networks: Evolution, opportunities and challenges. Proceedings of the IEEE 2003;91:1247-1256.
2. Swami A et al. Wireless Sensor Networks: Signal Processing and Communications Perspectives. Wiley: NJ, 2007;1-2.
3. Zou Y, Chakrabarty K. A distributed coverage-and connectivity-centric technique for selecting active nodes in wireless sensor networks. IEEE Transactions on Computers 2005;54(8):978-991.
4. Injong R, Warrier A, Aia M, Jeongki M, Sichitiu ML. Z-MAC: a hybrid MAC for wireless sensor networks. IEEE/ACM Transactions on Networking 2008;16(3):511-524.
5. Hua C., Yum T-SP. Optimal routing sand data aggregation for maximizing lifetime of wireless sensor networks. IEEE/ACM Transactions on Networking 2008;16(4):892-903.
6. Wei Y, Heidemann J, Estrin D. Medium access control with coordinated adaptive sleeping for wireless sensor networks. IEEE/ACM Transactions on Networking 2004;12(3):493-506.
7. Sung Y, Misra S, Tong L, Ephremides A. Cooperative routing for distributed detection in large sensor networks. IEEE Journal on Selected Areas in Communications 2007;25(2):471-483.
8. Gupta P, Kumar PR. The capacity of wireless networks. IEEE Transactions on Information Theory 2000;46(2):388-404.
9. Heinzelman WB, Chandrakasan AP, Balakrishnan H. An application-specific protocol architecture for wireless microsensor networks. IEEE Transactions on Wireless Communications 2000;1:660-670.
10. Younis O, Fahmy S. HEED: A hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks. IEEE Transactions on Mobile Computing 2004;3:366-379.
11. Zhi Q, Subramanian A, Sayed AH. REACA: an efficient protocol architecture for large scale sensor networks. IEEE Transactions on Wireless Communications 2007;6(8):2924-2933.
12. Ye M, Li C., Chen G, Wu J. EECS: An energy efficient clustering scheme in wireless sensor networks. Proceedings of the IEEE International Performance, Computing and Communications Conference, Phoenix, AZ, U.S.A., April 2005;535-540.
13. Handy MJ, Haase M, Timmermann D. Low energy adaptive clustering hierarchy with deterministic cluster-head selection. Proceedings of the IEEE Workshop on Mobile and Wireless Communications Network, Stockholm, Sweden, September 2002;368-372.
14. Muruganathan SD, Ma DCF, Bhasin RI, Fapojuwo AO. A centralized energy-efficient routing protocol for wireless sensor networks. IEEE Communications Magazine 2005;43:8-13.
15. Wen CY, Sethares WA. Automatic decentralized clustering for wireless sensor networks. EURASIP Journal on Wireless Communications and Networking 2005;2005:686-697.
16. Yongtao C., Chen H. A distributed clustering algorithm with an adaptive Backoff strategy for wireless sensor networks. IEICE Transactions on Communications 2006; E 89-B: 609-613.
17. Tavli B, Heinzelman WB. MH-TRACE: multihop time reservation using adaptive control for energy efficiency. IEEE Journal on Selected Areas in Communications 2004;22:942-953.
18. Yao Y, Giannakis GB. Energy-efficient scheduling for wireless sensor networks. IEEE Transactions on Communications 2005;53(8):1333-1342.
19. Zhu J, Papavassiliou S. On the energy-efficient organization sand the lifetime of multi-hop sensor networks. IEEE Communication Letters 2003;7(11):537-539.
20. Chen Y, Zhao Q. On the lifetime of wireless sensor networks. IEEE Communication Letters 2005;9(11):976-978.
21. Mini R, Machado M, Loureiro A, Nath B. Prediction-based energy map for wireless sensor networks. Ad Hoc Networks 2005;3(2):235-253.
22. Swami A et al. Wireless Sensor Networks: Signal Processing and Communications Perspectives. Wiley: NJ, 2007;96-98.
23. Deng J, Han YS, Heinzelman WB, Varshney PK. Scheduling sleeping nodes in high density cluster-based sensor networks. Mobile Networks and Applications 2005;10(6):825-835.
24. Jolly G, Younis M. An energy-efficient, scalable and collision-free MAC layer protocol for wireless sensor networks. Wireless Communications and Mobile Computing 2005;5(3):285-304.
25. Ming Y, Leung KK, Malvankar A. A dynamic clustering and energy efficient routing technique for sensor networks. IEEE Transactions on Wireless Communications 2007;6(8):3069-3079.
26. Poduri S, Sukhatme GS. Constrained coverage for mobile sensor networks. Proceedings of the IEEE International Conference on Robotics and Automation 2004;1:165-171.
27. Zhang Z, Ma M, Yang Y. Energy-efficient multihop polling in clusters of two-layered heterogeneous sensor networks. IEEE Transactions on Computers 2008;57(2):231-245.
28. Prokhorov I, Statulevičius VA, Prokhorov Yu V. Limit Theorems of Probability Theory. Springer: Berlin, 2000;2-3.
29. Heissenbuttel M, Braun T, Walchli M, Bernoulli T. Evaluating the limitations of sand alternatives in beaconing. Ad Hoc Networks 2007;5(5):558-578.
30. Lu J, Valois F, Barthel D, Dohler M. Low-energy address allocation scheme for wireless sensor networks. Proceedings of the IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Athens, Greece, September 2007;2211-2215.
31. Rappaport TS. Wireless Communications: Principles and Practice. Prentice-Hall: NJ, 1996;70-72.
32. Karl H, Willig A. Protocols and Architectures for Wireless Sensor Networks. Wiley: NJ, 2005;65-66.