Efficient Energy for Cluster Head Selection using New LEACH-based routing protocol in Wireless Sensor Network

Kirsan, Aidil Saputra; Rasyid, M. Udin Harun Al; Syarif, Iwan

doi:10.1109/elecsym.2019.8901669

Cited by 9 publications

(4 citation statements)

References 14 publications

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“…A recent study presented a detailed taxonomy of such existing works [27]. Among the aspects addressed in this study are the determination of the number of clusters [28] and the consideration of the devices' mobility [29]. While these aspects are essential, they are not covered in this paper which focuses more on the routing aspects through the design of an efficient selection of cluster heads.…”

Section: Related Workmentioning

confidence: 99%

A Novel Energy-Efficient Clustering Algorithm for More Sustainable Wireless Sensor Networks Enabled Smart Cities Applications

Yousif

Hussain

Djahel

et al. 2021

JSAN

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Wireless Sensor Networks (WSNs) is a major sensing technology that has revolutionized the way information is collected, processed, and used in many smart cities’ applications that rely on sensing technologies for event detection and monitoring. Despite the multiple benefits that such technology offers, the quick depletion of sensors’ battery power represents a major concern, mainly due to the extensive computational tasks and communication operations performed by individual sensors. Indeed, the cost of replacing batteries can be prohibitively expensive, especially when sensors are deployed in areas where access is difficult, in urbanized cities. To extend sensors’ lifetime, this paper proposes a new variant of LEACH protocol named LEACH enhanced with probabilistic cluster head selection (LEACH-PRO). LEACH-PRO introduces several measures to extend WSNs nodes’ lifetime such as cluster head node selection using a probabilistic function based on maximum residual energy and minimum distance to the sink. The obtained simulation results have proven the supremacy of LEACH-PRO over LEACH and direct transmission protocol in terms of the achieved network lifetime and the generated traffic overhead. Most importantly, LEACH-PRO will significantly extend the sensors’ lifetime, which would make this type of deployment more viable in smart city scenarios.

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Section: Related Workmentioning

confidence: 99%

A Novel Energy-Efficient Clustering Algorithm for More Sustainable Wireless Sensor Networks Enabled Smart Cities Applications

Yousif

Hussain

Djahel

et al. 2021

JSAN

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“…Besides, the low energy adaptive clustering hierarchy (LEACH) protocol undergoes an issue in the formation of the number of clusters. Hence, Kirsan et al [16] proposed a new LEACH focused on the selection of the best cluster head nodes. In this approach, the cluster heads are selected by the base stations that point out the higher energy clusters.…”

Section: Literature Reviewmentioning

confidence: 99%

Pegasis Double Cluster Head Hybrid Congestion Control in Wireless Sensor Networks

Ali

Vadivel

2021

JCOMSS

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Wireless sensor network (WSN) is the fastest growing technology that dominates the future world into wireless communication. It is a collection of a number of self-governing sensor nodes responsible to sense, process and manipulate the nodes. The sensor nodes are regulated by a battery where the network gets failed if the battery is dead. Thus, energy is an important factor to be efficiently used. Furthermore, congestion occurs in WSN when the incoming traffic load exceeds the capacity of the network. The major factors that lead to congestion are buffer overflow, varying rates of transmission, packet collision, and many-to-one data transmission. Due to these, the network suffers from packet loss, queuing delay, end-to-end delay, decrease in network lifetime, and increase in energy consumption. Hence, a clustering-based routing protocol is introduced in this paper to improve the performance of the network and reduce congestion. In the proposed method, Power-Efficient Gathering in Sensor Information Systems (PEGASIS) double cluster head with artificial neural network (ANN) is utilized to analyze the overall network lifetime. The proposed technique is comprised of four phases: clustering the network nodes, cluster head (CH) selection, chain formation, and secondary CH (SCH) selection. The sensor nodes are initially clustered with the firefly algorithm in which the cluster heads of each node are elected via an artificial neural network. Meanwhile, chain formation is processed by PEGASIS double cluster head (PDCH) and the SCH is selected through grey wolf optimizer (GWO) to afford equivalent energy utilization between the sensor nodes. The simulation outcomes proved that the proposed method efficiently increases the lifetime of the network and reduces congestion level in WSN.

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“…LEACH [12] is the most popular and the most famous clustering hierarchical protocol designed for an energy economy of the network [18]. It uses the clustering technique which divides the network into clusters, and through clustering mechanism, the nodes organize themselves into a hierarchical organization.…”

Section: Leach (Low Energy Adaptive Clustering Hierarchy)mentioning

confidence: 99%

An enhanced energy-efﬁcient routing protocol for wireless sensor network

Daanoune¹,

Baghdad²,

Ballouk³

2020

IJECE

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Recent few years, Wireless Sensor Network (WSN) has been an increasingly important technology that has been applied in almost all domains, even in complex environments where human activity is impossible. In WSN, various factors are impacted energy consumption, such as communication protocols, packet data transmission, and limited battery. So, the lifespan of the WSNs is limited. In this context, energy efficiency is the factor most attracted by many researchers. In this paper, we proposed a new improved LEACH routing protocol. This proposed protocol based on the current energy to select cluster-heads, and it uses a root cluster-head with more current energy and low distance to the sink to gather all data, then sends it to the sink. The simulation results in MATLAB confirmed that the proposed algorithm performed better than the conventional LEACH protocol, and increased the network lifetime in WSN.

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Efficient Energy for Cluster Head Selection using New LEACH-based routing protocol in Wireless Sensor Network

Cited by 9 publications

References 14 publications

A Novel Energy-Efficient Clustering Algorithm for More Sustainable Wireless Sensor Networks Enabled Smart Cities Applications

A Novel Energy-Efficient Clustering Algorithm for More Sustainable Wireless Sensor Networks Enabled Smart Cities Applications

Pegasis Double Cluster Head Hybrid Congestion Control in Wireless Sensor Networks

An enhanced energy-efﬁcient routing protocol for wireless sensor network

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