Improved hybrid cuckoo black widow optimization with interval type 2 fuzzy logic system for energy-efficient clustering protocol S.T. Sheriba, D. Hevin Rajesh International Journal of Communication Systems, 2021 Summary Recently, due to its excellent performance with the limited resources the wireless sensor network (WSN) is a challenging research area. The WSN consists of the number of nodes and power resources with limited energy parameters, but it comprises few difficulties. The energy‐efficient distributed clustering (HEED) is an efficient routing protocol in recent years. This paper proposes IHCBW with interval type 2 fuzzy logic system‐based HEED (IIT2FLS‐HEED) method. We used the combination of cuckoo search (CS) and improved black widow optimization (IBWO) algorithms (IHCBW) for the selection of optimal residual energy selection. The optimal cluster heads (CHs) are chosen with the help of the interval type 2 fuzzy logic system (IT2FLS). Experimentally, the NS2 software handles the entire proposed work and its performance is evaluated with different kinds of performance evaluation. Moreover, 20 benchmark functions are used to validate the performance of the IHCBW algorithm. Finally, the proposed IIT2FLS‐HEED demonstrates better performance results in terms of homogenous, second, and third stage heterogeneous WSN.
Energy-efficient clustering protocol for WSN based on improved black widow optimization and fuzzy logic S. T. Sheriba, D. Hevin Rajesh Telecommunication Systems, 2021 Wireless sensor networks is one of the important parts in modern-day communication that employing low-cost sensor devices with different environmental and physical parameters. The communication path between the base station and sensor nodes are built with the help of an efficient routing protocol. In the past years, the existing protocols met few difficulties in terms of higher computational complexity, poor cluster head selection performance, higher energy consumption, expensive in cluster head selection, scalability management, and uneven load distribution, and so on. In this paper, we proposed BM-BWO with fuzzy logic based HEED protocol (BMBWFL-HEED). In BMBWFL-HEED, we use the combination of the boosted mutation based black widow optimization (BM-BWO) algorithm with HEED protocol to select the higher residual energy. Particularly, the mutation phase of the Black Widow Optimization (BWO) algorithm is improved with the help of direction average strategy (BM-BWO). The fuzzy logic system selects the most relevant and optima cluster heads. Different kinds of experimental analysis, benchmark functions are applied to evaluate the performance of proposed BMBWFL-HEED protocol and it is compared with some existing algorithms like ICFL -HEED, HEED, and ICHB-HEED. In the case of residual energy, a variation of energy consumption and the number of cluster head formation for both homogeneous and heterogeneous environments. The proposed BMBWFL-HEED method demonstrates optimal performance output among all other methods.
