An Improved LEACH Routing Protocol for Energy-Efficiency of Wireless Sensor Networks

Tan, Nguyen Duy; Han, Longzhe; Việt, Nguyễn Đình; Jo, Minho

doi:10.6029/smartcr.2012.05.006

Cited by 17 publications

(7 citation statements)

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“…Tan et al proposed an LEACH-DE (LEACH-distance energy) routing protocol to decrease energy consumption and prolong network lifetime [12], in which the cluster head node is selected not only by considering whether residual energy of the node is greater than the average residual energy level of nodes in network, but also by examining the geometric distance between the candidate node and the BS. Wang et al established a Markov random model for LEACH protocol and indicated that the number of cluster heads produced by LEACH protocol is a binomial random variable, whose value spreads over a large range inside the target, instead of concentrating in the vicinity of the target [13].…”

Section: Related Workmentioning

confidence: 99%

Energy-Efficient Collaborative Communication for Optimization Cluster Heads Selection Based on Genetic Algorithms in Wireless Sensor Networks

Chen

Wei

et al. 2015

International Journal of Distributed Sensor Networks

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To solve the energy constraint problem caused by the neighborhood of the sink, which is burdened with heavy relay traffic via multihop communication and tends to die earlier, a new energy-efficient collaborative communication model is proposed based on genetic algorithms in wireless sensor networks (WSNs). By setting the threshold value for a new generation judgment function, the proposed algorithm would be capable of judging whether the sensor nodes can be a cluster head. Then, the genetic algorithms will filter out some nodes from these temporary cluster heads to get the final cluster heads. Simulation results show that the proposed algorithm can allocate energy to each node of WSNs and postpone the death of the first node. In this manner, the lifetime of WSNs is effectively prolonged.

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Section: Related Workmentioning

confidence: 99%

Energy-Efficient Collaborative Communication for Optimization Cluster Heads Selection Based on Genetic Algorithms in Wireless Sensor Networks

Chen

Wei

et al. 2015

International Journal of Distributed Sensor Networks

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“…Packet forwarding and distribution of the data may be non-uniform due to irregular movements happening in the heterogeneous network space (11). Numerous routing techniques have been developed to maximize the energy efficiency and packet delivery ratio of WSNs, covering almost all layers of communication protocols ranging from the bottom to top layers in the network (12,13) . Improved versions of LEACH, proposed based on, selection of CH, clustering, and packet forwarding.…”

Section: Introductionmentioning

confidence: 99%

Unified energy efficient distributed network management protocol to forward the data packets and to improve QoS in Wireless Sensor Networks

Sachithanantham¹,

Arts²,

Jaiganesh³

2021

IJST

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Background: Enhancing quality of service in forwarding the data packets from source to destination in WSN is a major task in contemporary networks. Everywhere the usage of WSN is increasing in the real world. Data sensing, data capturing and data forwarding is a routine process in modern era. Some of the dynamic problems arise as link failure, routing issues, packet delay etc that lead to the entire network shutdown. Hence, there is a need for development or enhancement of the protocol that finds the finest route to forward data packets in an optimal way. Objectives: The main objective of this study is to propose a unified energy efficient protocol to minimize the delay which will result in successful delivery of data packets from source to destination to improve the quality of service in WSN. Methods: This study proposes Unified Energy Efficient Distributed Network Management Protocol (UEEDNMP) focuses mainly on forwarding the data packets and finite routing to minimize the end to end delay. Parametric search technique along with CAFSM method is utilized to design the proposed protocol, to meet out the objective by forwarding the packets with better path from source to destination. Findings: NS2 Version 35 simulator is used to calculate the performance of the proposed UEEDNMP protocol. The simulation result shows UEEDNMP outperforms the existing protocols EH-WSN and ECO-LEACH in terms of data arrival rate, packet drop ratio, packet delivery ratio, energy consumption, network traffic, delay and network lifetime. Novelty: Comprehensive analyses signify that UEEDNMP has greater performance in forwarding the data packets with the finest routing in distributed networks, minimizing energy consumption, minimize the end to end latency time and maximize the life span of the network.

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“…), moving nodes, Wireless Networks scaling, and reliability. Therefore, these issues should be considered in designing new protocols [4,5].…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2020

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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.

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An Improved LEACH Routing Protocol for Energy-Efficiency of Wireless Sensor Networks

Cited by 17 publications

References 1 publication

Energy-Efficient Collaborative Communication for Optimization Cluster Heads Selection Based on Genetic Algorithms in Wireless Sensor Networks

Energy-Efficient Collaborative Communication for Optimization Cluster Heads Selection Based on Genetic Algorithms in Wireless Sensor Networks

Unified energy efficient distributed network management protocol to forward the data packets and to improve QoS in Wireless Sensor Networks

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

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