The Design of an Optimal and Secure Routing Model in Wireless Sensor Networks by Using PSO Algorithm

Taherian, Mohsen; Karimi, Hossein; Kashkooli, Asma Moradi; Esfahanimehr, Azadeh; Jafta, Tahere; Jafarabad, Mohammad

doi:10.1016/j.procs.2015.12.028

Cited by 15 publications

(4 citation statements)

References 2 publications

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“…To escape predators or find optimal environmental conditions, these particles may alter their location by changing their velocity. The velocity of the particles may be changed by modifying the particle's/or bird's group's flying experience [37][38][39].…”

Section: Particle Swarm Optimization (Pso)mentioning

confidence: 99%

Bio-Inspired Hybrid Optimization Algorithms for Energy Efficient Wireless Sensor Networks: A Comprehensive Review

2022

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Researchers are facing significant challenges to develop robust energy-efficient clustering and routing protocols for Wireless Sensor Networks (WSNs) in different areas such as military, agriculture, education, industry, environmental monitoring, etc. WSNs have made an everlasting imprint on everyone’s lives. The bulk of existing routing protocols has focused on cluster head election while disregarding other important aspects of routing including cluster formation, data aggregation, and security, among others. Although cluster-based routing has made a significant contribution to tackling this issue, the cluster head (CH) selection procedure may still be improved by integrating critical characteristics. Nature-inspired algorithms are gaining traction as a viable solution for addressing important challenges in WSNs, such as sensor lifespan and transmission distance. Despite this, the sensor node batteries cannot be changed when installed in a remote or unsupervised area due to their wireless nature. As a result, numerous researches are being done to lengthen the life of a node span. The bulk of existing node clustering techniques suffers from non-uniform cluster head distribution, an imbalanced load difficulty within clusters, concerning left-out nodes, coverage area, and placement according to a recent study. Metaheuristic algorithms (DE, GA, PSO, ACO, SFO, and GWO) have the advantages of being simple, versatile, and derivation-free, as well as effectively utilizing the network’s energy resource by grouping nodes into clusters to increase the lifespan of the entire network. In this paper, we explore recently used hybridization techniques (DE-GA, GA-PSO, PSO-ACO, PSO-ABC, PSO-GWO, etc.) for bio-inspired algorithms to improve the energy efficiency of WSNs. This paper also discusses how critical issues can be addressed by speeding up the implementation process, how more efficient data can be transferred, as well as how energy consumption can be reduced by using bio-inspired hybrid optimization algorithms.

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Section: Particle Swarm Optimization (Pso)mentioning

confidence: 99%

Bio-Inspired Hybrid Optimization Algorithms for Energy Efficient Wireless Sensor Networks: A Comprehensive Review

2022

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“…Also, a Tiny-OS framework is implemented for trust-based routing with minimum overhead. In Taherian et al [33] designed a secure and optimized routing protocol for WSNs by introducing swarm optimization algorithm. The primary emphasis was to adopt an AI approach to find a secure and efficient route in WSNs along with capable of aggregating the received information from the network and informing it to the activators.…”

Section: Related Workmentioning

confidence: 99%

Research Trends in Secure Routing Protocols and Communication System in WSNs

Parande¹,

Mallapur²

2019

IJITEE

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At present, Wireless Sensor Networks (WSNs) is fastest growing technology which extensively adopting for various application services including; weather monitoring, traffic prediction, surveillance, research and academic fields etc. As the sensor nodes are randomly deployed in wireless environment, security metrics becomes most promising challenge where communication wirelesses networks facing today. In WSNs, sensor nodes acquires various security concern i.e. vulnerabilities, threats and malicious attacks. Due to the limited resource constraints like bandwidth demand, limited memory, computational cost and minimum energy consumption of sensor nodes makes the network security protocols unachievable. In this context, this comprehensive study provides extensive review of WSNs, various challenges mainly related to security attacks and their solution strategies to strengthen the network performance. The significant contribution of this survey study is to provide the comprehensive report on standard secure routing schemes introduced in the literature and pertaining them to secure and non-secure routing protocols for strengthening the WSNs lifetime. Furthermore, the study considers the most frequently used security protocols published between 2010 to 2019, and investigates the major issues towards the security provisions in WSN, which may help for designing a futuristic routing protocol for any WSNs.

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“…Data aggregation is used to eradicate these redundant data, and the required content is sent to the base station 12 . Usually, in all WSNs, data security plays a vital role in communication related applications 13 . Due to high malicious attacks, the system may block its transmission operation, resulting in communication failure in every sensor node 14 .…”

Section: Introductionmentioning

confidence: 99%

“…12 Usually, in all WSNs, data security plays a vital role in communication related applications. 13 Due to high malicious attacks, the system may block its transmission operation, resulting in communication failure in every sensor node. 14 Recently researchers have been developing new techniques to overcome the data insecurities in WSN applications.…”

Section: Introductionmentioning

confidence: 99%

An improved blockchain based encryption scheme for secure routing in wireless sensor network using machine learning technique

Meena

Sharma

2022

Trans Emerging Tel Tech

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A secure routing scheme plays an integral role in ensuring the secure routing and efficiency of wireless sensor networks (WSNs). Recently, many studies have been undertaken to improve the data aggregation process, data security, and routing security. However, these approaches are highly suffered due to major limitations like time complexity, malicious attacks, and data insecurity. This research aims to develop an improved blockchain based encryption scheme for secure routing in wireless sensor networks using machine learning techniques. An improved artificial quantum beetle swarm neural network approach is proposed to perform the data aggregation among the sensor nodes. The cosine equivalent function and packet density correlation degree approach is emphasized to perform clustering in sensor nodes. The cluster head (CH) is selected based on the similarity of each sensor node. The Kalman filtering technique is introduced to filter out the data from unwanted malicious. This technique helps to filter the data before it is sent to the CH. Blockchain‐based encryption scheme is emphasized for data security by preventing malicious attacks during data transmission. The enhanced differential evaluation based firefly routing protocol is presented to maintain secure routing by choosing the optimal routing for the protected data transmission. Performance metrics such as latency, throughput, routing performance, energy consumption, FPR, blockchain (BC) computational performance, dead sensor count and average hop count are analyzed and compared with existing techniques. In an experimental scenario, the proposed approach achieves a maximum packet delay of 500 slots, throughput of 581 times/s, a latency of 0.31 ms, a computation complexity of 0.6, and a routing complexity of 2081 ms with a BC computation time of 95 ms. The performance of the proposed approach shows a better result than other existing approaches.

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The Design of an Optimal and Secure Routing Model in Wireless Sensor Networks by Using PSO Algorithm

Cited by 15 publications

References 2 publications

Bio-Inspired Hybrid Optimization Algorithms for Energy Efficient Wireless Sensor Networks: A Comprehensive Review

Bio-Inspired Hybrid Optimization Algorithms for Energy Efficient Wireless Sensor Networks: A Comprehensive Review

Research Trends in Secure Routing Protocols and Communication System in WSNs

An improved blockchain based encryption scheme for secure routing in wireless sensor network using machine learning technique

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