Improved W-LEACH Decentralized protocol with game theory

Hnini, Abdelhalim; Fihri, Mohammed; Hajami, Abdelmajid; Kandoussi, El Mehdi; Nabil, Mohamed

doi:10.1016/j.procs.2020.07.078

Cited by 5 publications

(3 citation statements)

References 10 publications

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“…For developing the energy sharing of sensor nodes, existing techniques have formed the sleep node technique. Hnini et al [24] designed a novel sleeping node with neighbor node distance and node density to all ordinary nodes. Finally, the outcomes of the developed technique provided a better performance of energy balancing, and it enhanced the network lifetime but not reliability because of transmission.…”

Section: Related Workmentioning

confidence: 99%

“…There are many techniques introduced to overcome these issues. The existing techniques [17], like the energy-efficient routing procedure [21], the clustering method [22], the routing protocol [23], and the LEACH protocol [24], still have the issues of scalability, network lifetime, and energy consumption [18,19]. The problem in the previous study is lacking monitoring mechanisms.…”

Section: Introductionmentioning

confidence: 99%

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Incorporating Metaheuristic Optimization Algorithm ABO for Improvement of LEACH Protocol in Wireless Sensor Networks

Malik

Josh

Sakya³

2023

Preprint

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The principal application of Wireless Sensor Network (WSN) is to perform sensing and tracking in the scenarios where continuous monitoring is required. At the same time tiny sensor node consumes energy in performing these tasks resulting in reduced performance of WSN due to signal loss and packet transmission. Many techniques were developed to overcome the issues of high energy consumption nodes but still have a problem identifying cluster heads since packet loss and signal transmission occurs during transmission. . This paper integrates a metaheuristic optimization algorithm to improve the performance of WSN. The metaheuristic African Buffalo-based Energy Optimized LEACH Protocol (MABEOLP) is designed to enhance communication performance in WSN. The proposed scheme recognize the less energy and high energy consumption nodes at an earlier stage of the energy-aware phase and the high energy consumption nodes are neglected .At the same time a temporary route is developed to avoid sudden signal failure and packet drop. The optimized model is implemented in Matlab ,it is tested for maximum of 125 nodes and later the performance parameters energy consumption, delay, throughput, packet transmission rate, and packet loss are compare with the existing methods.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Incorporating Metaheuristic Optimization Algorithm ABO for Improvement of LEACH Protocol in Wireless Sensor Networks

Malik

Josh

Sakya³

2023

Preprint

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“…Hnini et al [51] proposed Improved W-LEACH Decentralized protocol in WSN. This paper is proposed the game theory concept in W-LEACH protocol to choose appropriate CH.…”

Section: Related Workmentioning

confidence: 99%

EACR-LEACH: Energy-Aware Cluster-based Routing Protocol for WSN Based IoT

Sankar¹,

Kirubasri²,

Alotaibi³

et al. 2022

Computers, Materials &Amp; Continua

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Internet of Things (IoT) is a recent paradigm to improve human lifestyle. Nowadays, number devices are connected to the Internet drastically. Thus, the people can control and monitor the physical things in real-time without delay. The IoT plays a vital role in all kind of fields in our world such as agriculture, livestock, transport, and healthcare, grid system, connected home, elderly people carrying system, cypher physical system, retail, and intelligent systems. In IoT energy conservation is a challenging task, as the devices are made up of low-cost and low-power sensing devices and local processing. IoT networks have significant challenges in two areas: network lifespan and energy usage. Therefore, the clustering is a right choice to prolong the energy in the network. In LEACH clustering protocol, sometimes the same node acts as CH again and again probabilistically. To overcome these issues, this paper proposes the Energy-Aware Cluster-based Routing (EACR-LEACH) protocol in WSN based IoT. The Cluster Head (CH) selection is a crucial task in clustering protocol in WSN based IoT. In EACR-LEACH, the CH is selected by using the routing metrics, Residual Energy (RER), Number of Neighbors (NoN), Distance between Sensor Node and Sink (Distance) and Number of Time Node Act as CH (NTNACH). An extensive simulation is conducted on MATLAB 2019a. The accomplishment of EACR-LEACH is compared to LEACH and SE-LEACH. The proposed EACR-LEACH protocol extends the network's lifetime by 4%-8% and boosts throughput by 16%-24%.

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