Improving lifetime in heterogeneous wireless sensor networks with the energy-efficient grouping protocol

International Journal of Innovative Computing, Information and Control

Volumn 8, Issue 9, 2012, Pages 6037-6047

  Liaw, Jiun Jian ^a   Chang, Lin Huang ^b   Chu, Hung Chi ^a  

^a CHAOYANG UNIVERSITY OF TECHNOLOGY   (Taiwan)

^b NATIONAL TAICHUNG UNIVERSITY OF EDUCATION   (Taiwan)

Author keywords

Cluster; Energy consumption; Heterogeneous wireless sensor networks; Wireless sensor networks

Indexed keywords

CLUSTER; CLUSTERING-BASED ALGORITHMS; ENERGY EFFICIENT; ENERGY EFFICIENT PROTOCOLS; HETEROGENEOUS WIRELESS SENSOR NETWORKS; IMPROVE-A; NETWORK LIFETIME; REDUCING ENERGY CONSUMPTION; TOTAL ENERGY;

CLUSTERING ALGORITHMS; ENERGY EFFICIENCY; ENERGY UTILIZATION; WIRELESS SENSOR NETWORKS;

SENSOR NODES;

EID: 84865288126     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (26)

1. C.-Y. Chen, H.-C. Chao, S.-Y. Kuo and K.-D. Chang, Rule-based intrusion detection mechanism for IP multimedia subsystem, Journal of Internet Technology, vol.9, no.5, pp.329-336, 2008.
2. W.-E. Chen, Y.-B. Lin and R.-H. Liou, A weakly consistent scheme for IMS presence service, IEEE Trans, on Wireless Communications, vol.8, no.7, pp.3815-3821, 2009.
3. C.-T. Li, M.-S. Hwang and Y.-P. Chu, An efficient sensor-to-sensor authenticated path-key estab-lishment scheme for secure communications in wireless sensor networks, International Journal of Innovative Computing, Information and Control, vol.5, no.8, pp.2107-2124, 2009.
4. C.-L. Wang, T.-P. Hong, G. Horng and W.-H. Wang, A GA-based key-management scheme in hierarchical wireless sensor networks, International Journal of Innovative Computing, Information and Control, vol.5, no.12(A), pp.4693-4702, 2009.
5. S. Liang, Y. Tang and Q. Zhu, Passive wake-up scheme for wireless sensor networks, ICIC Express Letters, vol.2, no.2, pp.149-154, 2008.
6. M. Yoshimura, H. Nakano, A. Utani, A. Miyauchi and H. Yamamoto, An effective allocation scheme for sink nodes in wireless sensor networks using suppression PSO, ICIC Express Letters, vol.3, no.3(A), pp.519-524, 2009.
7. I. F. Akyildiz, W. Su, Y. Sankarasubramaniam and E. Cayirci, Wireless sensor networks: A survey, Computer Networks, vol.38, no.3, pp.393-422, 2002.
8. R. P. Mann, K. R. Namuduri and R. Pendse, Energy-aware routing protocol for ad hoc wireless sensor networks, EURASIP Journal on Wireless Communications and Networking, vol.5, pp.635-644, 2005.
9. S. Tilak, N. B. Abu-Ghazaleh and W. Heinzelman, A toxonomy of wireless microsensor network models, ACM Mobile Computing and Communications Review, vol.6, no.2, pp.28-36, 2002.
10. W. R. Heinzelman, A. Chandrakasan and H. Balakrishnan, An application-specific protocol archi-tecture for wireless microsensor networks, IEEE Trans, on Wireless Communications, vol. l, no.4, pp.660-670, 2002.
11. P. Kirshna, N. H. Vaidya, M. Chatterjee and D. K. Pradhan, A cluster-based approach for routing in dynamic network, ACM SIGCOMM Computer Communication Review, vol.27, no.2, pp.49-64, 1997.
12. S.-F. Hwang, Y.-Y. Su, K.-H. Lu, Y.-Y. Lin and C.-R. Dow, A cluster-based coverage-preserved scheduling scheme in wireless sensor networks, Journal of Internet Technology, vol.10, no. l, pp.43-50, 2009.
13. C. R. Lin and M. Gerla, Adaptive clustering for mobile wireless networks, IEEE Journal on Selected Areas in Communications, vol.15, no.7, pp.1265-1275, 1997.
14. A. B. McDonald and T. F. Znati, Design and performance of a distributed dynamic clustering algorithm for ad-hoc networks, Proc. of the 34th IEEE Computer Society on Annual Simulation Symposium, Seattle, USA, pp.27-23, 2001.
15. O. Younis and S. Fahmy, HEED: A hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks, IEEE Trans, on Mobile Computing, vol.3, no.4, pp.366-379, 2004.
16. C.-Y. Wen and W. A. Sethares, Automatic decentralized clustering for wireless sensor networks, EURAIP Journal on Wireless Communications and Networking, vol.5, pp.686-697, 2005.
17. W. B. Heinzelman, A. P. Chandrakasan and H. Balakrishnan, An application-specific protocol ar-chitecture for wireless microsensor networks, IEEE Trans, on Wireless Communications, vol. l, no.4, pp.660-670, 2002.
18. S. Lindsey and C. S. Raghavenda, PEGASIS: Power efficient gathering in sensor information systems, Proc. of IEEE Aerospace Conference, Montana, USA, pp.3-1125-3-1130, 2002.
19. Y. J. Wang and J. J. Liaw, The group clustering algorithm for LEACH, Proc. of National Symposium on System Science and Engineering Conference, I-Lan, Taiwan, 2008.
20. X. Du and F. Lin, Improving routing in sensor networks with heterogeneous sensor nodes, Proc. of the 61st IEEE Vehicular Technology Conference, Stockholm, Sweden, pp.2528-2532, 2005.
21. L. Ying and Y. Haibin, Energy adaptive cluster-head selection for wireless sensor networks, Proc. of the 6th International Conference on Parallel and Distributed Computing, Applications and Tech-nologies, Dalian, China, pp. 1-5, 2005.
22. M. Rajiullah and S. Shimamoto, An energy-aware periodical data gathering protocol using de-terministic clustering in wireless sensor networks (WSN), Proc. of Wireless Communications and Networking Conference, Hong Kong, pp.3014-3018, 2007.
23. S. Lindsey, C. Raghavendra, K. M. Sivalingam, Data gathering algorithms in sensor networks using energy metrics, IEEE Transactions on Parallel and Distributed Systems, vol. 13, no.9, pp.924-935, 2002.
24. S. Bandyopahyay, E. J. Coyle, An energy efficient hierarchical clustering algorithm for wireless sensor networks, Proc. of the 22nd Annual Joint Conference of the IEEE Computer and Communications Societies, San Francisco, USA, pp.1713-1723, 2003.
25. G. Smaragdakis, I. Matta and A. Bestavros, SEP: A stable election protocol for clustered hetero-geneous wireless sensor networks, Proc. of the 2nd International Workshop on Sensor and Actor Network Protocol and Applications, Boston, USA, pp.1-11, 2004.
26. L. Qing, Q. Zhu and M. Wang, Design of a distributed energy-efficient clustering algorithm for heterogeneous wireless sensor networks, Computer Communications, vol.29, pp.2230-2237, 2006.