Trust-based routing optimization using multi-ant colonies in wireless sensor network

Hajiee, Maryam; Fartash, Mehdi; Eraghi, Nafiseh Osati

doi:10.23919/jcc.2021.11.011

Cited by 7 publications

(3 citation statements)

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“…The optimized wiretap code and the probability of jamming codes were combinedly designed to improve the throughput of secrecy with less complexity. Hajiee, M et al [60] have proposed an optimized trust-based model using a multi-ant colony (MACRAT) algorithm to improve security in WSN. The proposed method has various sectors like trust model, create multi colony, discovery of route and evaluation, trusted route election and its maintenance.…”

Section: Review On Encryption Mechanismsmentioning

confidence: 99%

A Review on Energy Efficient Routing Protocols and Security Techniques for Wireless Sensor Networks

Paruvathavardhini

Sargunam

Sudarmani

2023

AMM

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Nowadays Wireless Sensor Networks (WSNs) are a very promising device to monitor environmental events, which are used in many application areas such as agriculture, environmental monitoring, air-water pollution, greenhouse, health monitoring, structural monitoring etc. Also, WSN needs effective and efficient way of collecting data from the area over which it is deployed, since the network consists of battery-operated nodes with limited energy. Improving the lifetime of WSN for continuous monitoring applications are very essential because of simple deployment, low installation cost, lack of cabling, and high mobility. The better energy conservation and reliable data transmission would be achieved in WSN by adopting efficient routing protocols for better and reliable communication. Also, security in data transmission in WSN is still a challenging task. Hence, a better way of encryption has to be computed to promote a reliable transmission between the nodes. In this paper discusses about different routing protocols which support energy efficiency and security techniques in WSN.

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Section: Review On Encryption Mechanismsmentioning

confidence: 99%

A Review on Energy Efficient Routing Protocols and Security Techniques for Wireless Sensor Networks

Paruvathavardhini

Sargunam

Sudarmani

2023

AMM

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“…Ref. [112] developed a Multi-Ant Colonies based Routing Mechanism scheme based on enhanced ant meta-heuristic and an enhanced trust evaluation strategy. Ref.…”

Section: Ai Based Solutions To Security Challenges In Wsnsmentioning

confidence: 99%

Recent Advances and Future Prospects of Using AI Solutions for Security, Fault Tolerance, and QoS Challenges in WSNs

et al. 2022

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The increasing relevance and significant acceptance of Wireless Sensor Network (WSN) solutions have aided the creation of smart environments in a multitude of sectors, including the Internet of Things, and offer ubiquitous practical applications. We examine current research trends in WSN using Artificial Intelligence (AI) technologies and the potential application of these methods for WSN improvement in this study. We emphasize the security, fault detection and tolerance, and quality of service (QoS) concerns in WSN, and provide a detailed review of current research that used different AI technologies to satisfy particular WSN objectives from 2010 to 2022. Specifically, this study’s purpose is to give a current review that compares various AI methodologies in order to provide insights for tackling existing WSN difficulties. Furthermore, there has been minimal existing related work concentrating employing AI approaches to solve security, fault detection and tolerance, and quality of service (QoS) concerns associated to WSN, and our goal is to fill the gap in existing studies. The application of AI solutions for WSN is the goal of this work, and we explore all parts of it in order to meet different WSN challenges such as security, fault detection and tolerance, and QoS. This will lead to an increased understanding of current AI applications in the areas of security, fault detection and tolerance, and QoS. Secondly, we present a comprehensive study and analysis of various AI schemes utilized in WSNs, which will aid the researchers in recognizing the most widely used techniques and the merits of employing various AI solutions to tackle WSN-related challenges. Finally, a list of open research issues has been provided, together with considerable bibliographic information, which provides useful recent research trends on the topics and encourages new research directions and possibilities.

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“…Recently, several routing methods have been introduced in WSN to expand the lifetime of network by minimizing power utilization. The presented method depends on various metrics such as network structure, topology, and communication model [10].…”

Section: Introductionmentioning

confidence: 99%

Differential Evolution with Arithmetic Optimization Algorithm Enabled Multi-Hop Routing Protocol

Hamza¹,

Alshahrani²,

Nour³

et al. 2023

Computer Systems Science and Engineering

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Wireless Sensor Networks (WSN) has evolved into a key technology for ubiquitous living and the domain of interest has remained active in research owing to its extensive range of applications. In spite of this, it is challenging to design energy-efficient WSN. The routing approaches are leveraged to reduce the utilization of energy and prolonging the lifespan of network. In order to solve the restricted energy problem, it is essential to reduce the energy utilization of data, transmitted from the routing protocol and improve network development. In this background, the current study proposes a novel Differential Evolution with Arithmetic Optimization Algorithm Enabled Multi-hop Routing Protocol (DEAOA-MHRP) for WSN. The aim of the proposed DEAOA-MHRP model is select the optimal routes to reach the destination in WSN. To accomplish this, DEAOA-MHRP model initially integrates the concepts of Different Evolution (DE) and Arithmetic Optimization Algorithms (AOA) to improve convergence rate and solution quality. Besides, the inclusion of DE in traditional AOA helps in overcoming local optima problems. In addition, the proposed DEAOA-MRP technique derives a fitness function comprising two input variables such as residual energy and distance. In order to ensure the energy efficient performance of DEAOA-MHRP model, a detailed comparative study was conducted and the results established its superior performance over recent approaches.

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Trust-based routing optimization using multi-ant colonies in wireless sensor network

Cited by 7 publications

References 0 publications

A Review on Energy Efficient Routing Protocols and Security Techniques for Wireless Sensor Networks

A Review on Energy Efficient Routing Protocols and Security Techniques for Wireless Sensor Networks

Recent Advances and Future Prospects of Using AI Solutions for Security, Fault Tolerance, and QoS Challenges in WSNs

Differential Evolution with Arithmetic Optimization Algorithm Enabled Multi-Hop Routing Protocol

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