Multi-objective evolutionary algorithm based on decomposition for energy efficient coverage in wireless sensor networks

Wireless Personal Communications

Volumn 71, Issue 1, 2013, Pages 195-215

  Özdemir, Suat ^a   Attea, Bara'A A ^b   Khalil, Önder A ^a  

^a GAZI UNIVERSITY   (Turkey)

^b UNIVERSITY OF BAGHDAD   (Iraq)

Author keywords

Clustering; Coverage preservation; Energy conservation; MOEA D; MOO; NSGA II; Wireless sensor networks

Indexed keywords

CLUSTERING; ENERGY-EFFICIENT COVERAGES; HEALTH CARE APPLICATION; MOEA/D; MOO; MULTI OBJECTIVE EVOLUTIONARY ALGORITHMS; NSGA-II; WIRELESS SENSOR NETWORK (WSNS);

ALGORITHMS; DETECTORS; ELECTRIC NETWORK TOPOLOGY; ENERGY CONSERVATION; ENERGY EFFICIENCY; HEALTH CARE; MULTIOBJECTIVE OPTIMIZATION;

WIRELESS SENSOR NETWORKS;

EID: 84879416240     PISSN: 09296212     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11277-012-0811-3     Document Type: Article

References (18)

1. Halawani S., Khan A. W. (2010) Sensors lifetime enhancement techniques in wireless sensor networks - a survey. Journal of Computing 2(5): 34-47
2. Heinzelman W., Chandrakasan A., Balakrishnan H. (2002) An application-specific protocol architecture for wireless microsensor networks. IEEE Transactions on Wireless Communications 1(4): 660-670
3. Tian, D., & Georganas, N. D. (2002). A coverage-preserving node scheduling scheme for large wireless sensor networks. In Processing of ACM wireless sensor network and application workshop.
4. Ye, F., Zhong, G., Cheng, J., Lu, S., & Zhang, L. (2003). PEAS: A robust energy conserving protocol for long-lived sensor networks. In Proceedings of IEEE international conference on distributed computing systems (ICDCS 2003).
5. Zhang, H., & Hou, J. (2004). Maintaining coverage and connectivity in large sensor networks. In Proceedings of international workshop on theoretical and algorithmic aspects of sensor, Ad hoc wireless and peer-to-peer networks.
6. Cardei M., Du D. Z. (2005) Improving wireless sensor network lifetime through power aware organization. ACM Wireless Networks 11(3): 333-340
7. Jourdan D. B., de Weck O. L. (2004) Layout optimization for a wireless sensor network using a multiobjective genetic algorithm. IEEE Semiannual Vehicular Technology 5: 2466-2470
8. Deb K. (2002) Multi-objective optimization using evolutionary algorithms. Wiley, New york
9. Coello C. A. C., Lamont G. B., Van Veldhuizen D. A. (2007) Evolutionary algorithms for solving multi-objective problems (2nd ed.). Springer, Berlin
10. Kulkarni R. V., Förster A., Venayagamoorthy G. K. (2001) Computational intelligence in wireless sensor networks: A survey. IEEE Communication Surveys & Tutorials 13(1): 68-96
11. Rajagopalan, R., Mohan, C., Varshney, K. P., & Mehrotra, K. (2005). Multi-objective mobile agent routing in wireless sensor networks. In Proceedings IEEE congress on evolutionary computation (Vol. 2, pp. 1730-1737). Edinburgh, Scotland.
12. Martins, F. V. C., Nakamura, F. G., Quintao, F. P., & Mateus, G. R. (2007). Model and algorithms for the density, coverage and connectivity control problem in flat WSNs. In Proceedings of the international network optimization conference (I NOC'07), pp. 1145-1152.
13. Martins F. V. C., Carrano E. G., Wanner E. F., Takahashi R. H. C., Mateus G. R. (2011) A hybrid multiobjective evolutionary approach for improving the performance of wireless sensor networks. IEEE Sensors Journal 11(3): 545-554
14. Srinivas N., Deb K. (1994) Multi-objective function optimization using non-dominated sorting genetic algorithms. Evolutionary Computation 2(3): 221-248
15. Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2000). A fast and elitist multi-objective genetic algorithm: NSGA-II. In Proceedings Parallel Problem Solving from Nature VI, pp. 849-858.
16. Zhang Q., Li H. (2007) MOEA/D: A multi-objective evolutionary algorithm based on decomposition. IEEE Transactions on Evolutionary Computation 11(6): 712-731
17. Smaragdakis, G., Matta, I., & Bestavros, A. (2004). SEP: A stable election protocol for clustered heterogeneous wireless sensor networks. In Second international workshop on sensor and actor network protocols and applications (SANPA 2004), Boston, MA.
18. Khalil, E. A., & Attea, B. A. (2011). Energy-aware evolutionary routing protocol for dynamic clustering of wireless sensor networks. Swarm an Evolutionary Computation. doi: 10.1016/j.swevo.2011.06.004.