Ignoring the generality in the design of Wireless Sensor Networks (WSNs) applications limits their benefits. Furthermore, the possibilities of future extension and adaptation are also restricted. In this paper, several methods to enhance the generality in WSNs are explained. We have further evaluated the suitability of these methods in centralized and de-centralized management scenarios.
References
[1]
C. Intanagonwiwat, R. Govindan, and D. Estrin, “Directed diffusion: A scalable and robust communication paradigm for sensor networks,” in the Proceedings of the 6th Annual ACM/IEEE MobiCom00.
[2]
J. Polastre, J. Hui, P. Levis, J. Zhao, D. Culler, S. Shenker, and I. Stoica, “A unifying link abstraction for wireless sensor networks,” in SenSys 2005.
[3]
S. Hadim and N. Mohamed, “Middleware: Middleware challenges and approaches for wireless sensor networks,” 2006 Published by the IEEE Computer Society, Vol. 7, No. 3, March 2006.
[4]
P. Levis and D. Culler, “Mat’e: A tiny virtual machine for sensor networks,” in the Proceedings of Architectural Support for Programming Languages and Operating Systems ASPLOS 2008.
[5]
S. R. Madden, M. J. Franklin, and J. M. Hellerstein, “TinyDB: An acquisitional query processing system for sensor networks,” ACM Transactions on Database Systems, Vol. 30, 2005.
[6]
C. Srisathapornphat, C. Jaikaeo, and C. Shen, “Sensor information networking architecture,” in the Proceedings of ICPPW 2000.
[7]
F. Tirkawi and S. Fischer, “Remote interaction tool for wireless sensor networks,” 3rd IEEE International Symposium on Wireless Pervasive Computing, May 2008.
[8]
D. C. Fok, G. Roman, and C. Lu, “Mobile agent middleware for sensor networks: An application case study,” in the Proceedings of IPSN 05.
