Error analysis and kernel density approach of scheduling sleeping nodes in cluster-based wireless sensor networks

IEEE Transactions on Vehicular Technology

Volumn 58, Issue 9, 2009, Pages 5105-5114

  Peng, Miao ^a   Xiao, Yang ^a   Wang, Pu Patrick ^b  

^a University of Alabama   (United States)

^b UNIVERSITY OF ALABAMA   (United States)

Author keywords

Analytical modeling; Kernel density; Network lifetime; Performance evaluation; Preknowledge; Wireless sensor networks

Indexed keywords

ANALYTICAL MODELING; BATTERY ENERGY; CLUSTER-BASED; CLUSTER-BASED SENSOR NETWORKS; DISTRIBUTION-FREE; ENERGY CONSUMPTION; IN-DEPTH STUDY; KERNEL DENSITY; NETWORK LIFETIME; PERFORMANCE EVALUATION; PERFORMANCE METRICS; REAL NETWORKS; RESEARCH STUDIES; RESEARCH TOPICS; SAVE ENERGY; SENSING FIELDS; STANDARD DEVIATION;

AD HOC NETWORKS; ERROR ANALYSIS; PROBABILITY DISTRIBUTIONS; RANDOM PROCESSES; RANDOM VARIABLES; SCHEDULING; SENSOR NETWORKS; SENSOR NODES; SLEEP RESEARCH; TELECOMMUNICATION EQUIPMENT; WIRELESS TELECOMMUNICATION SYSTEMS;

WIRELESS SENSOR NETWORKS;

EID: 70450180505     PISSN: 00189545     EISSN: None     Source Type: Journal    
DOI: 10.1109/TVT.2009.2027908     Document Type: Article

References (16)

1. W. Heinzelman, A. Chandrakasan, and H. Balakrishnan, "Energy- efficient communication protocol for wireless microsensor networks," in Proc. 33rd HICSS, 2000, p. 8020.
2. M. Younis, M. Youssef, and K. Arisha, "Energy-aware routing in clusterbased sensor networks," in Proc. MASCOT, 2002, pp. 129-136.
3. A. Sankar and Z. Liu, "Maximum lifetime routing in wireless ad hoc networks," in Proc. IEEE INFOCOM, 2004, pp. 1089-1097.
4. J. H. Chang and L. Tassiulas, "Maximum lifetime routing in wireless sensor networks," IEEE/ACM Trans. Netw., vol.12, no.4, pp. 609-619, Aug. 2004.
5. R. Madan, Z. Q. Luo, and S. Lall, "A distributed algorithm with linear convergence for maximum lifetime routing in wireless sensor networks," in Proc. Annu. Allerton Conf. Commun., Control Comput., 2005.
6. Y. Xu, J. Heideman, and D. Estrin, "Adaptive energy-conserving routing for multihop ad hoc networks," USC/ISI, Arlington, VA, Res. Rep. 527, Oct. 2000.
7. J. Deng, Y. S. Han, W. B. Heinzelman, and P. K. Varshney, "Scheduling sleeping nodes in high density cluster-based sensor networks," Mob. Netw. Appl., vol.10, no.6, pp. 825-835, Dec. 2005. (Pubitemid 43034613)
8. T. Hastie, R. Tibshirani, and J. Friedman, The Elements of Statistical Learning: Data Mining, Inference, and Prediction, ser. Springer Series in Statistics. Berlin, Germany: Springer-Verlag, 2001.
9. K. Wu, Y. Gao, F. Li, and Y. Xiao, "Lightweight deployment-aware scheduling for wireless sensor networks," Mob. Netw. Appl.(MONET), vol.10, no.6, pp. 837-852, Dec. 2005. (Pubitemid 43034614)
10. L. Wang and Y. Xiao, "A survey of energy-efficient scheduling mechanisms in sensor networks," Mob. Netw. Appl.(MONET), vol.11, no.5, pp. 723-740, Oct. 2006. (Pubitemid 44048674)
11. C. Liu, K. Wu, Y. Xiao, and B. Sun, "Random coverage with guaranteed connectivity: Joint scheduling for wireless sensor networks," IEEE Trans. Parallel Distrib. Syst., vol.17, no.6, pp. 562-575, Jun. 2006.
12. A. Savvides, F. Koushanfar,M. Potkonjak, and M. B. Srivastava, Location discovery in ad-hoc wireless sensor networks, Depts. Elect. Eng. and Comput. Sci., Univ. Calif. Los Angeles.
13. [Online]. Available: http://www.mathworks.com/matlabcentral/ fileexchange/authors/27236
14. K. Keith, Mathematical Statistics. London, U.K.: Chapman & Hall, 2000.
15. S. M. Ross, Stochastic Processes. New York: Wiley, 1995.
16. Y. Xiao, H. Li, Y. Pan, K. Wu, and J. Li, "On optimizing energy consumption for mobile handsets," IEEE Trans. Veh. Technol., vol.53, no.6, pp. 1927-1941, Nov. 2004.