An improved energy‐low clustering hierarchy protocol based on ensemble algorithm

Abstract

Summary LEACH (low‐energy adaptive clustering hierarchy) protocol is an important part of wireless sensor network (WSN) and consisting of a good deal of energy‐constrained nodes. LEACH is widely used but also faces various challenges and constraints. The biggest constraint is that the energy is limited and the network life is finite. In the article, an improved ensemble algorithm based on energy‐efficient LEACH is proposed. The ensemble algorithm benefits from the cuckoo search algorithm (CS), glowworm swarm optimization (GSO), and bacterial foraging optimization (BFO). The paper enhances local and global search capabilities by modify the CS GSO and BFO algorithm. To verify results, this paper performs statistical comparatives with oriented cuckoo search (OCS), bat algorithm with characteristics of Levy flights, particle swarm optimization, and adaptive differential evolution algorithm. Comparison results shows that the new method is effective. Moreover, the research also showed the universal applicability of the ensemble strategy in solving diverse problems by using above different optimization algorithms. To further exploit our mind, this paper applies the improved coupling algorithm to LEACH for selecting the cluster‐head node. Computational experiments illustrate that the method proposed in this paper can provide very competitive results compared to these bio‐inspired LEACH, both in terms of reducing the network energy consumption and improving the lifecycle of nodes.

Energy-Efficient Clustering and Routing Algorithm Using Hybrid Fuzzy with Grey Wolf Optimization in Wireless Sensor Networks

“…Xie et al [11] developed an improved hierarchy protocol for low-energy clustering based on the ensemble method. is work primarily optimizes and enhances the LEACH protocol.…”

Dynamic Clustering in Wireless Sensor Networks using Hybrid Jellyfish Optimization-Leach Protocol

“…The purpose was to take into account the distance of residual energy from the cluster's average well and the CH equilibrium constant. PenghuaXie et al [14] concluded that the LEACH protocol is an integral part is often used, but it also presents many challenges and limitations. The main limitation is that performance and network lifespan is limited.…”

“…The general premise of cluster routing protocols is to lower the amount of CH data transmissions. LEACH was merged the undisputed access of TDMA with the cluster concept in WSN and proposed a cluster route algorithm [14]. The critical problem in LEACH routing WSN is the effective energy consumption [14].…”

“…LEACH was merged the undisputed access of TDMA with the cluster concept in WSN and proposed a cluster route algorithm [14]. The critical problem in LEACH routing WSN is the effective energy consumption [14]. An effective method for selecting cluster heads and proposing a consistentand energy-efficient WSN protocol.…”

Hybrid K-Medoids with Energy-Efficient Sunflower Optimization Algorithm for Wireless Sensor Networks

“…Today's practical applications necessitate improving positioning accuracy, cost efficiency, and power consumption. However, developing a lowenergy, accurate, stable, and functional algorithm is difficult [4]. A typical WSN comprises hundreds of small, self-contained sensor nodes with limited battery capacity.…”