Cluster Trisecting Based Data Aggregation Scheme for Wireless Sensor Networks

Abstract:

Data aggregation is an important method to reduce energy consumption in wireless sensor networks (WSN). Auth-ors proposed a cluster trisecting based data aggregation scheme for wireless sensor networks in which the cluster was trisected and some reporters were assigned to each region. The nodes have same reading and located in same region with reporter will keep silent in data aggregating, thus reducing the inner-cluster transmissions. Analysis and simulation show that the transmissions of inner-cluster aggregation in our scheme lower than that of related schemes and the decrease of trans-missions is obvious when redundancy of sensor readings is high.

• Periodical: Advanced Materials Research (Volumes 756-759)
• Pages: 1126-1130
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.756-759.1126
• Online since: September 2013
• Authors: Jiang Hong Guo, De Li Chen
• Keywords: Cluster Trisecting , Data Aggregation, Sensor Network

References

[1] Intanagonwiwat, C Govindan, R Estrin, D Heidemann. Directed diffusion for wireless sensor networking, In IEEE transactions on networking, 2003, 11(1): 2–16.

DOI: 10.1109/tnet.2002.808417

[2] T. Aonishi, T. Matsuda, et al. Impact of aggregation efficiency on GIT-routing for wireless sensor networks, in Proc of the 2006 International Conference Workshops on Parallel Processing, Ohio, USA, IEEE Society Press, 2006: 151–158.

DOI: 10.1109/icppw.2006.41

[3] L. A. Villas, D. L. Guidoni, R. B. Ara´ujo, A. Boukerche. A scalable and dynamic data aggregation aware routing protocol for wireless sensor networks, in 13th ACM international conference on Modeling, analysis, and simulation of wireless and mobile systems, USA, IEEE Society Press, 2010: 110–117.

DOI: 10.1145/1868521.1868540

[4] W. R. Heinzelman, A. P. Chandrakasan, and H. Balakrishnan, An Application-Specific Protocol Architecture for Wireless Microsensor Networks, IEEE Trans Wireless Communication. Oct, 2002: 660–70.

DOI: 10.1109/twc.2002.804190

[5] O. Younis and S. Fahmy, HEED: a Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor networks, IEEE Trans. Mobile Computing, 2004, 3(4): 366–79.

DOI: 10.1109/tmc.2004.41

[6] NECCHI L, BONIVENTO A, LAVAGNO L, et al. Eerina: an energy efficient and reliable in-network aggregation for clustered wireless sensor networks, in Proc of Wireless Communications and Networking Conference, 2007: 3364-3369.

DOI: 10.1109/wcnc.2007.619

[7] MOSTAFIZUR M，MOZUMDAR R, et al. An efficient data aggregation algorithm for cluster- based sensor network, Journal of Networks, 2009, 4(7) : 598-606.

[8] FAN Y C et al, Efficient and robust sensor data aggregation using linear counting sketches, IEEE Trans on Parallel and Distributed Systems, 2010, 21(11) : 1675-1691.

DOI: 10.1109/tpds.2010.33

[9] S. Capkun, J.P. Hubaux, Secure positioning of wireless devices with application to sensor networks, in Proc. IEEE INFOCOM, Miami, FL, Mar. 2005, p.1917– (1928).

[10] A. Savvides, C. Han and M. Srivastava, Dynamic fine-grained localization in ad-hoc networks of sensors, in Proc. ACM MobiCom, Rome, Italy, Jul. 2001, p.166–179.