Abstract

A Flying Ad-hoc network constitutes many sensor nodes with limited processing speed and storage capacity as they institute a minor battery-driven device with a limited quantity of energy. One of the primary roles of the sensor node is to store and transmit the collected information to the base station (BS). Thus, the life span of the network is the main criterion for the efficient design of the FANETS Network, as sensor nodes always have limited resources. In this paper, we present a methodology of an energy-efficient clustering algorithm for collecting and transmitting data based on the Optimized Low-Energy Adaptive Clustering Hierarchy (LEACH) protocol. The selection of CH is grounded on the new optimized threshold function. In contrast, LEACH is a hierarchical routing protocol that randomly selects cluster head nodes in a loop and results in an increased cluster headcount, but also causes more rapid power consumption. Thus, we have to circumvent these limitations by improving the LEACH Protocol. Our proposed algorithm diminishes the energy usage for data transmission in the routing protocol, and the network’s lifetime is enhanced as it also maximizes the residual energy of nodes. The experimental results performed on MATLAB yield better performance than the existing LEACH and Centralized Low-Energy Adaptive Clustering Hierarchy Protocol in terms of energy efficiency per unit node and the packet delivery ratio with less energy utilization. In addition, the First Node Death (FND) is also meliorated when compared to the LEACH and LEACH-C protocols.

Highlights

  • This paper proposes a protocol using Low-Energy Adaptive Clustering Hierarchy (LEACH), which collects inputs consisting of gathered information about unmanned aerial vehicles (UAVs)

  • ThereA FANET routing protocol is considered more complicated than fixed network protocols fore, it is essential to dynamically carry out the routing process to make UAVs more aubecause of features such as the dynamic topology algorithm, mutual intervention, limited tonomous and reduce the delay-time between the source node and a target node [7]

  • The improved LEACH (I-LEACH) is a clustering routing system [9] in which the selection of CHs is based on residual energy, node location, and neighbors’ numbers

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Summary

Introduction

The routing protocol is the mechanism by which the data can be moved from the source to the destination It aims to achieve network scalability, a high data transmission rate, and energy consumption efficiency. Clustering reduces the number of routing packets It provides greater scalability, lower load, minimum energy usage, data aggregation, crash prevention, load balancing, latency step-down, failure resilience, greater robustness, communication assurance, and network life maximization. With the help of this framework based on the Flying Ad-hoc network protocol, it facilitates optimal contact between UAVs. LEACH [3] is one of the notable WSN clustering routing protocols. LEACH [3] is one of the notable WSN clustering routing protocols In this sensor, nodes are collected in groups called clusters, and each one chooses one cluster as the leading cluster, called the cluster head, and the remaining nodes in a cluster are called cluster members [4].

Flying
Related Work
Limitations
Cluster Method
Cluster Formulation and Cluster Head Selection
Steady-State Phase
Number of Clusters
Consistency inof
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Residual Energy
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