Fuzzy Processing in Surveillance Wireless Sensor Networks

2016-07-29
Sert, Seyyit Alper
Yazıcı, Adnan
Dokeroglu, Tansel
This paper introduces a new distributed fuzzy network clustering approach that specifically targets surveillance applications of wireless sensor networks. Surveillance domain heavily consists of multimedia applications which require heavy energy consumption. Moreover, in sensor networks, positioned nodes can be relocated either by users or external events which might yield a non-uniform deployment in the long run. In this regard, fuzzy processing becomes crucial if the domain and existing resources include uncertainties. In this study, a distributed fuzzy clustering approach is introduced and then experimentally evaluated. The obtained results on the effect of fuzzy processing in heterogeneous sensor networks are presented.

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Citation Formats
S. A. Sert, A. Yazıcı, and T. Dokeroglu, “Fuzzy Processing in Surveillance Wireless Sensor Networks,” presented at the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) held as part of IEEE World Congress on Computational Intelligence (IEEE WCCI), Vancouver, CANADA, 2016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/56013.