Research and Improvement of LEACH Protocol in Wireless Sensor Networks

Cui, Xiaoyan

doi:10.1109/mape.2007.4393593

Cited by 19 publications

(5 citation statements)

References 4 publications

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“…Among them, the protocol LEACH protocol is the first cluster-based energy efficient communication protocol for WSNs [4]. A WSN is a network that uses sensing equipment to gather environmental data, which the communication system then sends to a designated location using wireless equipment [14]. The energy resources of the sensing devices are generally limited [15].…”

Section: Related Workmentioning

confidence: 99%

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Multihop Voronoi LEACH for wireless sensor network

Degala

2024

International Conference on Medical Imaging, Electronic Imaging, Information Technologies, and Sensors (MIEITS 2024)

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Section: Related Workmentioning

confidence: 99%

“…An author proposed a D-LEACH protocol, in which the probability functions are used in deciding for the transmission of data coming from the sensor nodes [2]. In Hierarchical LEACH protocol, three types of nodes exist in the network [17].…”

Section: Related Workmentioning

confidence: 99%

Multihop Voronoi LEACH for wireless sensor network

Degala

2024

International Conference on Medical Imaging, Electronic Imaging, Information Technologies, and Sensors (MIEITS 2024)

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“…Filter Mobile (Low Energy Adaptive Clustering Hierarchy for Mobile), in shortLEACH-M [5], is a variety of LEACH (Low Energy Adaptive Clustering Hierarchy), which support node portability. In LEACH-M, clusters are continuously limited by respective time the sensor moves, offering high danger of overhead in the cluster arrangement.The author [6] had proposed LEACH-TM (Low Energy Adaptive Clustering Hierarchy Trust Transmission) and shaped LEACH-TM custom by using trust outlines in which CH sets up multi route thereby exchanging CHs that are going as switches. The exhibition of this plan was found to be better than LEACH with respect to vitality usage and number of nodes alive in the system however has no worry about node versatility.…”

Section: Related Workmentioning

confidence: 99%

Efficient Cluster Head Selection in WSN Using Secure Mobility Cluster Based Algorithm

Sampoornam¹,

Hemavikasini²,

Vidhya³

et al. 2020

Intelligent Systems and Computer Technology

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Wireless Sensor Networks (WSNs) are widely adopted by various civilian/military applications for implementing real-time monitoring or long-term surveillance task. Considering sensor nodes with mobility has emerged as a major application in environmental monitoring or surveillance. Due to the limited battery lifetime, the network in the deployed region is divided into clusters and the clusters are controlled by their Cluster Heads (CH). But selecting CH in WSNs (considering the network with both static and mobility nodes) is a challenging task because security is significant. To prevent the malicious sensor node from becoming CH, Secure Mobility Cluster Based Algorithm (SMCBA) is proposed. This algorithm considers only static node among mobility node for selecting CH with efficient parameters such as trust criteria, selection time and mobility. The simulation results show that the proposed algorithm works effectively compared with the existing clustering algorithms.

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“…This is because energy is the main and crucial criterion for WSN, so more weight assignment to remaining energy or energy consumption rate results in a higher network stability and lifetime. According to [11], the WSN is considered to be dead if the first node is dead (network stability). Therefore, when predictable sink mobility with octagonal trajectories is introduced in scenario 1, the network stability increased drastically to around 1806 rounds.…”

Section: Figure 4: Number Of Dead Nodes Vs Number Of Roundsmentioning

confidence: 99%

Fuzzy-Topsis-Based Cluster Head Selection in Mobile Wireless Sensor Networks

Khan

Bilal²

2017

Handbook of Research on Recent Developments in Intelligent Communication Application

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One of the critical and vital parameter of Wireless Sensor Networks (WSNs) is its lifetime. There are various methods to increase WSN lifetime, clustering technique is one of them. In clustering, selection of desired percentage of Cluster Head (CHs) is performed among the sensor nodes (SNs). Selected CHs are responsible to collect data from its member nodes, aggregates the data and finally send to the sink. In this chapter, Fuzzy-TOPSIS techniques based on multi criteria decision making to choose CH efficiently and effectively to maximize the WSN lifetime are presented. These five criteria includes; residual energy, node energy consumption rate, number of neighbor nodes, average distance between neighboring nodes and distance from sink. Threshold based intra-cluster and inter-cluster multi-hop communication mechanism is used to decrease energy consumption. Moreover impact of node density and different type mobility strategies are presented in order to investigate impact over WSN lifetime.

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Research and Improvement of LEACH Protocol in Wireless Sensor Networks

Cited by 19 publications

References 4 publications

Multihop Voronoi LEACH for wireless sensor network

Multihop Voronoi LEACH for wireless sensor network

Efficient Cluster Head Selection in WSN Using Secure Mobility Cluster Based Algorithm

Fuzzy-Topsis-Based Cluster Head Selection in Mobile Wireless Sensor Networks

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