TY - GEN
T1 - A clustering routing protocol for wireless sensor networks based on type-2 fuzzy logic and ACO
AU - Zhang, Qi Ye
AU - Sun, Ze Ming
AU - Zhang, Feng
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/9/4
Y1 - 2014/9/4
N2 - Aiming at the problem of load balancing and lifetime prolonging for wireless sensor networks (WSNs), and considering complex uncertainties existed in WSNs, this paper proposes a clustering routing protocol CRT2FLACO for WSN based on type-2 fuzzy logic and ant colony optimization (ACO). Specifically, in the cluster set-up phase, a type-2 Mamdnai fuzzy logic system (T2MFLS) is built to handle rule uncertainty better and balance the network load, in which three important factors - residual energy, the number of neighbor nodes and the distance to the base station (BS) of a node - are considered as inputs, and the probability of the node to be a candidate cluster head (CH) and the CH competition radius as outputs of our T2MFLS, to select the final CHs; in the steady-state phase, in order to reduce the transmission consumption, all the CHs are linked into a chain using ACO algorithm, then each CH send its data packet to the leader along link, which is a CH eventually transmitting packets to the BS. The simulation results show that the proposed routing protocol can effectively balance network load and reduce the transmission energy consumption of CHs, thus greatly prolong the lifetime of WSN.
AB - Aiming at the problem of load balancing and lifetime prolonging for wireless sensor networks (WSNs), and considering complex uncertainties existed in WSNs, this paper proposes a clustering routing protocol CRT2FLACO for WSN based on type-2 fuzzy logic and ant colony optimization (ACO). Specifically, in the cluster set-up phase, a type-2 Mamdnai fuzzy logic system (T2MFLS) is built to handle rule uncertainty better and balance the network load, in which three important factors - residual energy, the number of neighbor nodes and the distance to the base station (BS) of a node - are considered as inputs, and the probability of the node to be a candidate cluster head (CH) and the CH competition radius as outputs of our T2MFLS, to select the final CHs; in the steady-state phase, in order to reduce the transmission consumption, all the CHs are linked into a chain using ACO algorithm, then each CH send its data packet to the leader along link, which is a CH eventually transmitting packets to the BS. The simulation results show that the proposed routing protocol can effectively balance network load and reduce the transmission energy consumption of CHs, thus greatly prolong the lifetime of WSN.
KW - Wireless sensor network
KW - ant colony optimization
KW - clustering algorithm
KW - type-2 fuzzy logic
KW - unequal competition radius
UR - https://www.scopus.com/pages/publications/84912558826
U2 - 10.1109/FUZZ-IEEE.2014.6891584
DO - 10.1109/FUZZ-IEEE.2014.6891584
M3 - 会议稿件
AN - SCOPUS:84912558826
T3 - IEEE International Conference on Fuzzy Systems
SP - 1060
EP - 1067
BT - Proceedings of the 2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2014
Y2 - 6 July 2014 through 11 July 2014
ER -