Load‐based node ranked low‐energy adaptive clustering hierarchy: An enhanced energy‐efficient algorithm for cluster head selection in wireless sensor networks

Abstract

A Wireless Sensor Network typically uses a large number of power‐constrained sensor nodes for sensing phenomenal data and for its processing. The lifetime of a sensor node is limited and this is a great challenge for researchers to sustain the network for a long time. Since, the data transmission from a sensor node to the base station is more power consuming, the hierarchical routing protocols play a major role in multihop communication and to prolong the network life time. It uses a clustering approach with an overhead of cluster head (CH) selection to attain this. This overhead needs proper addressing and to be reduced by some means. The work in this paper employs a new approach based on low‐energy adaptive clustering hierarchy (LEACH) and considers network load for electing CH in addition to number of links, residual sensor energy and distance. Here, energy and time are used for calculating load on a CH. The simulation results show that the proposed protocol performs better than LEACH, LEACH‐I, and NR‐LEACH algorithms on the parameters of average energy ratio throughput, end‐to‐end delay, packet delivery ratio, and a number of alive nodes.

An efficient energy consumption model using data aggregation for wireless sensor network

“…Hierarchical routing techniques are important for multi‐hop communication and extending network life. Compared to LEACH, LEACH‐I and NR‐LEACH algorithms, the suggested protocol outperforms them in terms of average energy ratio throughput and end‐to‐end latency 27 Reference Method used Work 18 Fuzzy attribute‐based joint integrated scheduling and tree formation (FAJIT) approachTree creation and the process of choosing parent node utilising fuzzy logic.…”

“…Based on energy levels and node locations, the BS serves as a sink for data collected. 26 Mehta and Saxena 27 proposed the sensing and processing of phenomenal data in a WSN often involves a large number of power-restricted sensor nodes. Hierarchical routing techniques are important for multi-hop communication and extending network life.…”

“…Compared to LEACH, LEACH-I and NR-LEACH algorithms, the suggested protocol outperforms them in terms of average energy ratio throughput and end-to-end latency. 27 Reference Method used Work…”