2026· International Journal of Advances in Scientific Research and Engineering· 0 citations
TL;DR
This survey presents a comprehensive review of the LEACH protocol, describing its architecture, clustering mechanism, setup and steady-state phases, and data aggregation process, and identifying future research directions for improving reliability, scalability, security, and overall network performance in next-generation wireless sensor networks.
Abstract
Low-Energy Adaptive Clustering Hierarchy (LEACH) is one of the earliest and most influential hierarchical routing protocols developed for Wireless Sensor Networks (WSNs). It was designed to reduce energy consumption by organizing sensor nodes into clusters and periodically rotating the cluster-head role among nodes to balance energy usage and extend network lifetime. This survey presents a comprehensive review of the LEACH protocol, describing its architecture, clustering mechanism, setup and steady-state phases, and data aggregation process. The paper examines the key advantages of LEACH, including energy efficiency, scalability, and reduced communication overhead, while also discussing its limitations such as random cluster-head selection, uneven cluster distribution, and limited performance in heterogeneous or large-scale networks. Furthermore, the survey summarizes the major LEACH variants proposed to overcome these challenges, including centralized, multi-hop, mobile, and energy-aware extensions. A comparative overview of these variants is provided based on their design objectives and performance improvements. Finally, the survey highlights current research trends involving LEACH integration with Internet of Things (IoT) applications, machine learning techniques, artificial intelligence, and energy-harvesting technologies, while identifying future research directions for improving reliability, scalability, security, and overall network performance in next-generation wireless sensor networks.
Energy management is a key challenge in wireless sensor networks (WSNs), primarily due to the limited battery resources of sensors, which shorten the network lifespan. Uneven energy consumption and high routing overhead significantly reduce network longevity. In this paper, we present an energy efficient clustering met...
M. I. Raheem, Mazin Ismael Raheem· Indonesian Journal of Electr...· 0 citations
The results indicate that E2CMR improves energy efficiency, network stability, and routing performance and is applicable for large-scale energy-constrained WSNs.
S. Priyadarshini, A. T.· International journal of com...· 0 citations
The core research goal of this paper is to optimize dynamic routing protocols to improve the performance of the classic LEACH protocol in heterogeneous WSNs through a real-time adaptive scheme, which relies on two core methods: a cluster head selection mechanism based on the residual energy criterion, and a priority ho...
V. Barbudhe, Shruti Dixit· International journal of com...· 0 citations
Wireless Sensor Networks (WSNs) use resource-constrained sensor nodes to continuously monitor ambient conditions and serve as data sinks for various Internet of Things (IoT) applications. However, maximizing Energy Efficiency (EE) while maintaining reliable data delivery remains a significant challenge. Existing cluste...
P. Kumbhar, A. Naik· International Journal of Ele...· 0 citations
Wireless sensor networks (WSNs) are frequently deployed in unattended environments where battery replacement is difficult. Low-Energy Adaptive Clustering Hierarchy (LEACH) reduces redundant transmissions through clustering and cluster-head rotation, but its cluster-head election remains highly random and can select low...
Zexuan Wei· Journal of Algorithms in Com...· 0 citations
ThGCDTR-RP is proposed, an energy-efficient clustering and routing protocol that integrates Grey Wolf Optimizer, Cheetah Optimizer, and Differential Evolution for cluster-head (CH) selection that consistently outperforms LEACH, LPSO, LGWO, WOA-P, and LACO.
Xuan Yang, Jia-Qi Yan, De-Sheng Wang et al.· Journal of King Saud Univers...· 0 citations
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