Hybrid multi-objective-optimization algorithm for energy efficient priority-based QoS routing in IoT networks

Thenmozhi, R.; Sakthivel, P.; Kulothungan, K.

doi:10.1007/s11276-021-02848-z

Cited by 11 publications

(6 citation statements)

References 36 publications

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“…The evaluation metrics such as delay, packet drop, energy consumption, network lifetime, normalized energy, PDR, and throughput are analyzed. Lastly, the performance of the proposed system is analyzed with existing SFO‐GWO‐MR‐IoT, 23 WLFA‐MR‐IoT, 24 SFLA‐MR‐IoT, 25 and hyb‐WOA‐MFO‐MR‐IoT 27 methods. Parameters used in simulation are tabulated in Table 2.…”

Section: Resultsmentioning

confidence: 99%

“…Figures 4–10 delineate the simulation results of delay, packet drop, energy consumption, network lifetime, normalized energy, PDR, and throughput. The proposed Hyb‐MP‐BCOA‐MR‐IoT system is related to four existing systems, like SFO‐GWO‐MR‐IoT, 23 WLFA‐MR‐IoT, 24 SFLA‐MR‐IoT, 25 and hyb‐WOA‐MFO‐MR‐IoT, 27 respectively.…”

Section: Resultsmentioning

confidence: 99%

“…Thenmozhi et al 24 have suggested Whale Lion Fireworks optimization Algorithm (WLFA)‐based multipath routing for raising the energy efficiency (EE) of IoT. The routing presentation was based on the QoS parameters, such as distance and forwarding ratio.…”

Section: Literature Surveymentioning

confidence: 99%

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Hybrid Marine Predators and Border Collie Optimization algorithm for multipath routing in IoT

Kumar

2023

Int J Communication

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SummaryInternet of Things (IoT) is a network of smart things that connects people and objects for gathering and exchanging information by means of embedded sensor. IoT‐based wireless sensor network (WSN) nodes are monitored as a resource parameter at the variety of methods, including resource calculation, energy resource, and storage resource, with multipath routing protocols necessary to enable extended network lifespan and achieve high energy utilization. The existing routing protocols did not provide optimal path from the multipath route. Hence, in this manuscript, a Hybrid Marine Predators and Border Collie Optimization algorithm is proposed for multipath routing in IoTs. The main aim of this endeavor is to “increase network lifetime.” IoT is simulated initially and multipath routing initiates in internet of things network. Multipath routing is achieved by proposed Hyb‐MP‐BCOA; this is the combination of Hybrid Marine Predators Algorithm and Border Collie Optimization algorithm. The proposed Hyb‐MP‐BCOA algorithm chooses the optimum path from the multiple path obtainable for routing, depending upon fitness parameter, like context awareness, network lifetime, residual energy, trust, and delay. Based on the fitness parameter, the optimal path is selected by using Hyb‐MP‐BCOA algorithm. Finally, the proposed Hyb‐MP‐BCOA‐MR‐IoT model is applied in MATLAB, and efficacy of proposed technique is estimated by using various performance metrics, like drop, normalized network energy, lifetime of network, delay, throughput, energy consumed, packet delivery ratio, and number of sensor nodes versus aggregation level. The proposed method attains lower delay of 14.285%, 50%, 53.846%, and 57.142%, lower packet drop of 14.285%, 50%, 53.846%, and 57.142%, lower energy consumption compared with existing methods such as multiobjective sun flower optimization with gray wolf optimizer (GWO) for multipath routing in IoT (SFO‐GWO‐MR‐IoT), multiobjective Whale Lion Fireworks optimization algorithm and fitness function for multipath routing in IoT (WLFA‐MR‐IoT), multipath routing in IoT using shuffled frog leaping algorithm (SFLA‐MR‐IoT), and multipath routing in IoT using hybrid Whale Optimization Algorithm‐Moth Flame Optimization (MFO)(hyb‐WOA‐MFO‐MR‐IoT). Finally, the safe communication is attained in the IoT network.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Hybrid Marine Predators and Border Collie Optimization algorithm for multipath routing in IoT

Kumar

2023

Int J Communication

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“…References 28,29 followed the same approach by focusing on congestion control. Thenmozhi et al 30 and Fazli et al 31 introduced methods such as Energy-Efficient Priority-based Multi-Objective QoS routing (PMQoSR) based on WLFA-Whale Lion Fireworks and V-RPL: an effective routing algorithm for RPL based on optimizing Vlse Kriterijumsk Optimizacija Kompromisno Resenje (VIKOR) and Analytical Hierarchy Process (AHP) techniques. In these methods, multi-metric evaluation is performed focusing on the probability of successful receptions, distance to the destination, remaining energy, and traffic rate.…”

Section: Related Workmentioning

confidence: 99%

RAARPL: End‐to‐end Reliability‐Aware Adaptive RPL routing protocol for Internet of things

Shahbakhsh

Ghafouri

Bardsiri

2023

Int J Communication

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The RPL protocol has been accepted by the Internet Engineering Task Force as the only routing standard for the Internet of things (IoT). Although RPL has been significantly used in IoT routing, it still has extensive challenges. One of the most basic challenges is related to the reliability of routing. The severe limitations of resources, wireless communication, and variable topology, along with other limitations of IoT, have caused reliability in these networks to be a challenging topic. However, in RPL, no measures are provided to support the reliability of routing. To improve this issue, in this article, RPL was improved based on reliability requirements, and a new protocol was proposed called the Reliability-Aware Adaptive RPL routing protocol (RAARPL). RAARPL selects the parents based on the evaluation of various criteria related to reliability and forms the network topology. In addition, the conditions of the paths were also considered in the decision-making so that the reliability depends on the paths and parents. In order to maintain stability, RAARPL had controlled the parent selection and children assignment in a way that will prevent errors as much as possible. The simulation results by Cooja and compared with CLRPL and RPL

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“…Sensor nodes used in WSN-based IoT networks have many restrictions on energy sources, radio range, and processing power. Given that achieving the longest lifetime is a very important issue in these networks, the main challenge in these networks is to save the energy of sensor nodes [7,8].…”

Section: Introductionmentioning

confidence: 99%

A Cluster-Tree-Based Secure Routing Protocol Using Dragonfly Algorithm (DA) in the Internet of Things (IoT) for Smart Agriculture

et al. 2022

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The Internet of Things defines a global and comprehensive network whose task is to monitor and control the physical world by collecting, processing, and analyzing data sensed by IoT devices. This network has succeeded in various areas, and one of its most important applications is in smart agriculture because there are many demands for producing high-quality foodstuff in the world. These demands need new production schemes in the agriculture area. In IoT, communication security is essential due to the extensive heterogeneity of IoT devices. In this paper, a cluster-tree-based secure routing approach using the dragonfly algorithm (CTSRD) is proposed for IoT. The proposed scheme presents a distributed and lightweight trust mechanism called weighted trust (W-Trust). W-Trust reduces the trust value corresponding to malicious nodes based on a penalty coefficient to isolate this node in the network. Furthermore, it improves the trust value of honest IoT devices based on a reward coefficient. Additionally, CTSRD introduces a trust-based clustering process called T-Clustering. In this clustering process, cluster head nodes (CHs) are selected among honest IoT nodes. Finally, CTSRD establishes a routing tree based on the dragonfly algorithm (DA) between CHs. This tree is called DA-Tree. To evaluate the quality of the routing tree, a new fitness function is provided in CTSRD. DA-Tree finds a secure, stable, and optimal routing tree to balance the consumed energy and boost the network lifetime. CTSRD is compared with EEMSR and E-BEENISH with regard to the network lifetime, consumed energy, and packet delivery rate. This comparison shows that our scheme can uniformly distribute the consumed energy in IoT and improves the energy consumption and network lifetime. However, it has a slightly lower packet delivery rate than EEMSR.

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Hybrid multi-objective-optimization algorithm for energy efficient priority-based QoS routing in IoT networks

Cited by 11 publications

References 36 publications

Hybrid Marine Predators and Border Collie Optimization algorithm for multipath routing in IoT

Hybrid Marine Predators and Border Collie Optimization algorithm for multipath routing in IoT

RAARPL: End‐to‐end Reliability‐Aware Adaptive RPL routing protocol for Internet of things

A Cluster-Tree-Based Secure Routing Protocol Using Dragonfly Algorithm (DA) in the Internet of Things (IoT) for Smart Agriculture

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