An optimized ticket manager based energy‐aware multipath routing protocol design for <scp>IoT</scp> based wireless sensor networks

Roberts, Michaelraj Kingston; Thangavel, Jayapratha

doi:10.1002/cpe.7398

Cited by 20 publications

(4 citation statements)

References 32 publications

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“…Ref. 35 proposes an optimized "ticket manager-based energy-aware multipath routing protocol" (TMERP). It suggests three main functional components make up for protocol design: the backup node (BN), routing planner (RP), and ticket manager (TM).…”

Section: Literature Review Of Energy Efficient Protocols For Wsnsmentioning

confidence: 99%

A comprehensive review of energy efficient routing protocols for query driven wireless sensor networks

Bekal,

Kumar,

Mane

et al. 2024

F1000Res

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In this current era of communications and networking, The Internet of things plays the main role in the making of smart communication and networking. In this article, we have focused on the literature survey on wireless sensor networks which are energy efficient. Various standard protocols are reviewed along with some enhanced protocols which makes the network energy efficient. The comparison of the standard and enhanced protocols with respect to various applications in wireless sensor networks is thoroughly done in this article. The outcomes of the enhanced protocols are also briefly discussed. For easier analysis to future researchers, a comparative table which lists the enhanced protocols which are compared with standard counterparts along with the factors for energy efficiency of the protocols. This article also comments on the issues and challenges of the protocols which can be further analyzed for making the wireless sensor network more energy efficient.

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Section: Literature Review Of Energy Efficient Protocols For Wsnsmentioning

confidence: 99%

A comprehensive review of energy efficient routing protocols for query driven wireless sensor networks

Bekal,

Kumar,

Mane

et al. 2024

F1000Res

View full text Add to dashboard Cite

show abstract

“…The base station is situated in the middle of the M × M area, and the sensor nodes s i ( i = 1,2, …, N ) are dispersed at random [ 77 – 79 ];…”

Section: System Modelmentioning

confidence: 99%

An intelligent algorithm for energy efficiency optimization in software-defined wireless sensor networks for 5G communications

Gökhan Nalbant,

Alsuhibany,

Hassan Alshehri

et al. 2024

PLoS ONE

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Wireless communications have lately experienced substantial exploitation because they provide a lot of flexibility for data delivery. It provides connection and mobility by using air as a medium. Wireless sensor networks (WSN) are now the most popular wireless technologies. They need a communication infrastructure that is both energy and computationally efficient, which is made feasible by developing the best communication protocol algorithms. The internet of things (IoT) paradigm is anticipated to be heavily reliant on a networking architecture that is currently in development and dubbed software-defined WSN. Energy-efficient routing design is a key objective for WSNs. Cluster routing is one of the most commonly used routing techniques for extending network life. This research proposes a novel approach for increasing the energy effectiveness and longevity of software-defined WSNs. The major goal is to reduce the energy consumption of the cluster routing protocol using the firefly algorithm and high-efficiency entropy. According to the findings of the simulation, the suggested method outperforms existing algorithms in terms of system performance under various operating conditions. The number of alive nodes determined by the proposed algorithm is about 42.06% higher than Distributed Energy-Efficient Clustering with firefly algorithm (DEEC-FA) and 13.95% higher than Improved Firefly Clustering IFCEER and 12.05% higher than another referenced algorithm.

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“…The achievement of the aforementioned goals is significantly impacted by these factors [12]. So, several research has been performed on the energy saving of the SNs [13,14].…”

Section: Introductionmentioning

confidence: 99%

An Intelligent Energy-Efficient Data Routing Scheme for Wireless Sensor Networks Utilizing Mobile Sink

Al-Mahdi,

Elshrkawey,

Saad

et al. 2024

Wireless Communications and Mobile Computing

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Data collection and energy consumption are critical concerns in Wireless sensor networks (WSNs). To address these issues, both clustering and routing algorithms are utilized. Therefore, this paper proposes an intelligent energy-efficient data routing scheme for WSNs utilizing a mobile sink (MS) to save energy and prolong network lifetime. The proposed scheme operates in two major modes: configure and operational modes. During the configure mode, a novel clustering mechanism is applied once, and a prescheduling cluster head (CH) selection is introduced to ensure uniform energy expenditure among sensor nodes (SNs). The scheduling technique selects successive CHs for each cluster throughout the WSNs’ lifetime rounds, managed at the base station (BS) to minimize SN energy consumption. In the operational mode, two main objectives are achieved: sensing and gathering data by each CH with minimal message overhead, and establishing an optimal path for the MS using the genetic algorithm. Finally, the MS uploads the gathered data to the BS. Extensive simulations are conducted to verify the efficiency of the proposed scheme in terms of stability period, network lifetime, average energy consumption, data transmission latency, message overhead, and throughput. The results demonstrate that the proposed scheme outperforms the most recent state-of-the-art methods significantly. The results are substantiated through statistical validation via hypothesis testing utilizing ANOVA, as well as post hoc analysis.

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An optimized ticket manager based energy‐aware multipath routing protocol design for IoT based wireless sensor networks

Cited by 20 publications

References 32 publications

A comprehensive review of energy efficient routing protocols for query driven wireless sensor networks

A comprehensive review of energy efficient routing protocols for query driven wireless sensor networks

An intelligent algorithm for energy efficiency optimization in software-defined wireless sensor networks for 5G communications

An Intelligent Energy-Efficient Data Routing Scheme for Wireless Sensor Networks Utilizing Mobile Sink

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