期刊
WIRELESS PERSONAL COMMUNICATIONS
卷 84, 期 2, 页码 1165-1196出版社
SPRINGER
DOI: 10.1007/s11277-015-2682-x
关键词
Wireless sensor network; Clustering algorithm; Unequal competition radius; Type-2 fuzzy logic; Ant colony optimization
资金
- National Natural Science Foundation of China [61403011, 61327807]
Aiming at the problemof load balancing and lifetime prolonging forwireless sensor networks (WSNs), and considering complex uncertainties existed inWSNs, 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 uncertainties 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.
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