TY - GEN
T1 - Fuzzy processing in surveillance wireless sensor networks
AU - Sert, Seyyit Alper
AU - Yazici, Adnan
AU - Dokeroglu, Tansel
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/7
Y1 - 2016/11/7
N2 - 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.
AB - 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.
KW - Fuzzy processing
KW - Heterogeneous sensor networks
KW - Network clustering
KW - Surveillance applications
UR - http://www.scopus.com/inward/record.url?scp=85006812872&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85006812872&partnerID=8YFLogxK
U2 - 10.1109/FUZZ-IEEE.2016.7737869
DO - 10.1109/FUZZ-IEEE.2016.7737869
M3 - Conference contribution
AN - SCOPUS:85006812872
T3 - 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016
SP - 1509
EP - 1515
BT - 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016
Y2 - 24 July 2016 through 29 July 2016
ER -