This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Toward Reliable and Efficient Reporting in Wireless Sensor Networks
August 2008 (vol. 7 no. 8)
pp. 978-994
Energy-efficiency is one of the major concerns in wireless sensor networks since it impacts the network lifetime. In this paper, we investigate the relationship between sensor network performance, particularly its lifetime, and the number of active reporting nodes N by using both analytical and simulation approaches. We first demonstrate that decreasing the number of reporting nodes increases the number of reports that need to be sent to the sink in order to achieve the desired information reliability regarding a detected event. On an other side, we show that reducing the number of reporting nodes reduces the probability of collision occurrence. Based on these results, and as a first main contribution, we derive the optimal number of reporting nodes Nopt_energy that minimizes the energy consumed to report reliably the occurrence of an event. In other words, we prove that limiting the reporting tasks of a detected event to a small subset of sensor nodes (i.e., Nopt_energy), instead of using all the sensor nodes in the event area, enables significant energy conservation.

[1] I. Akiyldiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, “A Survey on Sensor Networks,” IEEE Comm. Magazine, vol. 40, no. 8, pp. 102-114, Aug. 2002.
[2] S. Singh and C.S. Raghavendra, “PAMAS: Power Aware Multi-Access Protocol with Signaling for Ad Hoc Networks,” ACM Computer Comm. Rev., pp. 5-26, July 1998.
[3] F. Dai and J. Wu, “Distributed Dominant Pruning in Ad Hoc Wireless Networks,” Proc. IEEE Int'l Conf. Comm. (ICC '03), May 2003.
[4] M. Miller and N. Vaidya, “A MAC Protocol to Reduce Sensor Network Energy Consumption Using a Wake-Up Radio,” IEEE Trans. Mobile Computing, vol. 4, no. 3, pp. 228-242, May/June 2005.
[5] W. Ye, J. Heidemann, and D. Estrin, “Medium Access Control with Coordinated Adaptive Sleeping for Wireless Sensor Networks,” IEEE/ACM Trans. Networking, vol. 12, no. 3, pp.493-506, June 2004.
[6] T. van Dam and K. Langendoen, “An Adaptive Energy-Efficient MAC Protocol for Wireless Sensor Networks,” Proc. ACM First Int'l Conf. Embedded Networked Sensor Systems (SenSys '03), pp. 171-180, Nov. 2003.
[7] R.C. Shah and H.M. Rabaey, “Energy-Aware Routing for Low Energy Ad Hoc Sensor Networks,” Proc. Second IEEE Wireless Comm. and Networking Conf. (WCNC '02), Mar. 2002.
[8] J. Chang and L. Tassiulas, “Maximum Lifetime Routing in Wireless Sensor Networks,” IEEE/ACM Trans. Networking, vol. 12, no. 4, pp. 609-619, Aug. 2004.
[9] S. Tilak, B. Abu-Ghazaleh, and W. Heinzelman, “Infrastructure Tradeoffs for Sensor Networks,” Proc. First ACM Workshop Wireless Sensor Networks and Applications (WSNA '02), pp. 49-58, Sept. 2002.
[10] O.B. Akan and I.F. Akyildiz, “Event-to-Sink Reliable Transport for Wireless Sensor Networks,” IEEE/ACM Trans. Networking, vol. 13, no. 5, pp. 1003-1016, Oct. 2005.
[11] C.F. Chiasserini and M. Garetto, “An Analytical Model for Wireless Sensor Networks with Sleeping Nodes,” IEEE Trans. Mobile Computing, vol. 5, no. 12, pp. 1706-1718, Dec. 2006.
[12] R. Cristescu, B. Beferull-Lozano, and M. Vetterli, “On Network Correlated Data Gathering,” Proc. IEEE INFOCOM '04, Mar. 2004.
[13] M.C. Vuran, Ö.B. Akan, and I.F. Akyildiz, “Spatio-Temporal Correlation: Theory and Applications for Wireless Sensor Networks,” Elsevier Computer Networks J., vol. 45, no. 3, pp.245-259, June 2004.
[14] M.C. Vuran and I.F. Akyildiz, “Spatial Correlation-Based Collaborative Medium Access Control in Wireless Sensor Networks,” IEEE/ACM Trans. Networking, vol. 14, no. 2, pp. 316-329, Apr. 2006.
[15] Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications, ISO/IEC IEEE 802.11 Standard, 1999.
[16] C. Intanagonwiwat, R. Govindan, and D. Estrin, “Directed Diffusion: A Scalable and Robust Communication Paradigm for Sensor Networks,” Proc. ACM MobiCom '00, Aug. 2000.
[17] C. Intanagonwiwat, D. Estrin, R. Govindan, and J. Heidemann, “Impact of Network Density on Data Aggregation in Wireless Sensor Networks,” Proc. 22nd Int'l Conf. Distributed Computing Systems (ICDCS '02), pp. 457-458, July 2002.
[18] G.L. Suber, Principles of Mobile Communication. Kluwer, 2001.
[19] K. Kredo II and P. Mohapatra, “Medium Access Control in Wireless Sensor Networks,” Computer Networks, vol. 51, no. 4, pp.961-994, Mar. 2007.
[20] Y. Chen and Q. Zhao, “On the Lifetime of Wireless Sensor Networks,” IEEE Comm. Letters, vol. 9, Nov. 2005.
[21] M. Heusse, F. Rousseau, G. Berger-Sabbatel, and A. Duda, “Performance Anomaly of 802.11b,” Proc. IEEE INFOCOM '03, Mar. 2003.
[22] The Network Simulator: ns-2, http://www.isi.edu/nsnamns, 2008.

Index Terms:
Network, sensor networks
Citation:
Fatma Bouabdallah, Nizar Bouabdallah, Raouf Boutaba, "Toward Reliable and Efficient Reporting in Wireless Sensor Networks," IEEE Transactions on Mobile Computing, vol. 7, no. 8, pp. 978-994, Aug. 2008, doi:10.1109/TMC.2008.21
Usage of this product signifies your acceptance of the Terms of Use.