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4 ConclusionsWireless sensor networks are a new area of research, having many open issues andchallenges due to the strict constraints of their resources. Although multihopcommunication protocols of mobile Ad-Hoc networks have many solutions to propose,only a few of them are applicable for a WSN. In this paper we focused on two goals. Thefirst one was to introduce the reader to the networking issues of a WSN and point out thenecessity of data naming and data-centric routing approaches. The second goal was topresent several data-centric oriented techniques that achieve reduction of traffic inside thenetwork and thus save energy. These techniques are referred to as Data Aggregationtechniques and critical past research has been devoted to them. Although many of thesetechniques look promising, there are still many challenges that need to be addressed.
REFERENCES[1] W. Ye, J. Heidemann, D. Estrin. “An Energy-Efficient MAC Protocol for WirelessSensor Networks”. In Proceedings of IEEE Infocom ‘02, New York, New York, June23-27, 2002.[2] Ilker Demirkol, Cem Ersoy, and Fatih Alagöz. “MAC Protocols for Wireless SensorNetworks: a Survey”. IEEE Communications Magazine, 2005.[3] C. Intanagonwiwat, R. Govindan, , and D. Estrin. “Directed diffusion: A scalableand robust communication paradigm for sensor networks”. In Proceedings of theSixth Annual International Conference on Mobile Computing and Networks(MobiCOM 2000), Boston, MA, August 2000.[4] Heidemann, F. Silva, C. Intanagonwiwat, R. Govindan, D. Estrin, and D. Ganesan.“Building efficient wireless sensor networks with low-level naming”. In SOSP,October 2001.[5] P.Bonnet, J.Gehrke, and P.Seshadri. “Towards sensor database systems”. In 2ndInternational Conference on Mobile Data Management, Hong Kong, January 2001.[6] Y. Yao and J. Gehrke, “The cougar approach to in-network query processing insensor networks”, in SIGMOD Record, September 2002.[7] S. Madden, R. Szewczyk, M. J. Franklin, and D. Culler, Supporting AggregateQueries Over Ad-Hoc Wireless Sensor Networks", In Proc. of WMCSA, June 2002.[8] S. Nath, P. B. Gibbons, S. Seshan, and Z. Anderson. Synopsis diffusion for robustaggregation in sensor networks. In SenSys, 2004. S. Nath, P. B. Gibbons, S. Seshan,and Z. Anderson.[9] D. Kempe A. Dobra J. Gehrke, “Gossip-based Computation of AggregateInformation”, Proc. The 44th Annual IEEE Symp. on Foundations of ComputerScience, FOCS October 2003.[10] S. Madden, M. Franklin, J. Hellerstein, and W. Hong. “TAG: A tiny aggregationservice for ad-hoc sensor networks”. In Proc. 5th Symp. on Operating SystemsDesign and Implementation, December 2002.[11] Madden, S., Franklin, M., Hellerstein, J., and Hong, W. The design of anacquisitional query processor for sensor networks. In Proceedings of ACMSIGMOD June 2003 (San Diego, June 9–12). ACM Press, New York, 2003, 491–502.[12] Eugene Shih, Seong-Hwan Cho, Nathan Ickes, Rex Min, Amit Sinha, Alice Wang,and Anantha Chandrakasan, “Physical layer driven protocol and algorithm designfor energy-efficient wireless sensor networks,” in The Seventh Annual InternationalConference on Mobile Computing and Networking 2001, July 2001, pp. 272 – 287.
Page 1: Athens University of Economics and
Page 4 and 5: 1 IntroductionRecently, the technol
Page 7 and 8: Thus, in-network processing is one
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Page 13 and 14: 2.1.3 Proposed schemesSeveral syste
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Page 29 and 30: than the whole network (GAF, GEAR).
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Page 33 and 34: 3 Data Aggregation in WSNs3.1 Gener
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Page 41 and 42: Tree. To be more specific, as the q
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Page 45 and 46: of communication failures because e
Page 47 and 48: function SE() to translate its loca
Page 49 and 50: Benefits1. It is a completely distr
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