An improved cluster formation process in wireless sensor network to decrease energy consumption

Abstract

Wireless sensor network has special features and many applications, which have attracted attention of many scientists. High energy consumption of these networks, as a drawback, can be reduced by a hierarchical routing algorithm. The proposed algorithm is based on the Low Energy Adaptive Clustering Hierarchy (LEACH) and Quadrant Cluster based LEACH (Q-LEACH) protocols. To reduce energy consumption and provide a more appropriate coverage, the network was divided into several regions and clusters were formed within each region. In selecting the cluster head (CH) in each round, the amount of residual energy and the distance from the center of each node were calculated by the base station (including the location and residual energy of each node) for all living nodes in each region. In this regard, the node with the largest value had the highest priority to be selected as the CH in each network region. The base station calculates the CH due to the lack of energy constraints and is also responsible for informing it throughout the network, which reduces the load consumption and tasks of nodes in the network. The information transfer steps in this protocol are similar to the LEACH protocol stages. To better evaluate the results, the proposed method was implemented with LEACH LEACH-SWDN, and Q-LEACH protocols using MATLAB software. The results showed better performance of the proposed method in network lifetime, first node death time, and the last node death time.

An improved optimal energy aware data availability approach for secure clustering and routing in wireless sensor networks

“…The proposed approach REDAA is compared with EECSRP, 13 SALMA, 24 ARPBFSA, 17 Q‐LEACH, 27 and MH‐LEACH 28 . The trace file of existing schemes is taken and compared with REDAA.…”

“…Here, the proposed protocol REDAA is developed based on the working of MH‐LEACH algorithm 27 and Q‐ LEACH 28 . In this phase, the concept of Q‐LEACH algorithm was taken for the selection of CH and to reduce the energy consumption.…”

Localization Based Distributed Selective Cluster Scheduling for Sustainable Energy Consumption and Efficient Data Transmission

“…The infrastructure was partitioned into many zones and clusters were developed within each zone to eliminate hazards and give more significant coverage. The quantity of remaining energy and the range from the centre of each node were estimated by the BS (containing the placement and residual energy of each node) for all surviving nodes in each zone while picking the CH in each phase [24]. Energy Efficient Cluster Head Selection Scheme (ECSS) [25] framework intended for a heterogeneous network and focuses on identifying an energy-efficacious CH that enables in boosting lifespan and throughput by using the energy levels of nodes for the CH selection.…”

Mobility Induced Multi-Hop LEACH Protocol in Heterogeneous Mobile Network

“…Even though a better stable CH selection protocol is claimed by [30]. However, this protocol has two ways of communication in direct mode and via advanced node that makes the model inappropriate in the presence of node mobility which restricts the network's throughput [31]. Furthermore, the significant contributions made by various researcher provides a key insight on the techniques and models required to implement an energy efficient clustered heterogeneous network.…”