Energy balanced, delay aware multi-path routing using particle swarm optimisation in wireless sensor networks

Maratha, Priti; Gupta, Kapil; Kuila, Pratyay

doi:10.1504/ijsnet.2021.112885

Cited by 8 publications

(2 citation statements)

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“…Designing energy-effectual multipath routing protocol is critical for WSN applications. The authors of [66] present a multipath routing system that accounts for wireless interference and network energy savings. The path discovery method of the proposed protocol selects the next-hop node, potentially lowering the linking cost.…”

Section: Wireless Communications and Mobile Computingmentioning

confidence: 99%

An Effective Wireless Sensor Network Routing Protocol Based on Particle Swarm Optimization Algorithm

Ghawy

Amran

AlSalman

et al. 2022

Wireless Communications and Mobile Computing

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Improving wireless communication and artificial intelligence technologies by using Internet of Things (Itoh) paradigm has been contributed in developing a wide range of different applications. However, the exponential growth of smart phones and Internet of Things (IoT) devices in wireless sensor networks (WSNs) is becoming an emerging challenge that adds some limitations on Quality of Service (QoS) requirements. End-to-end latency, energy consumption, and packet loss during transmission are the main QoS requirements that could be affected by increasing the number of IoT applications connected through WSNs. To address these limitations, an effective routing protocol needs to be designed for boosting the performance of WSNs and QoS metrics. In this paper, an optimization approach using Particle Swarm Optimization (PSO) algorithm is proposed to develop a multipath protocol, called a Particle Swarm Optimization Routing Protocol (MPSORP). The MPSORP is used for WSN-based IoT applications with a large volume of traffic loads and unfairness in network flow. For evaluating the developed protocol, an experiment is conducted using NS-2 simulator with different configurations and parameters. Furthermore, the performance of MPSORP is compared with AODV and DSDV routing protocols. The experimental results of this comparison demonstrated that the proposed approach achieves several advantages such as saving energy, low end-to-end delay, high packet delivery ratio, high throughput, and low normalization load.

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Section: Wireless Communications and Mobile Computingmentioning

confidence: 99%

An Effective Wireless Sensor Network Routing Protocol Based on Particle Swarm Optimization Algorithm

Ghawy

Amran

AlSalman

et al. 2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…Missteps in IoT gadgets and network connections have a significant impact here on the architecture of IoT networks as well as communications. IoT systems are becoming more potent as well as sophisticated because of developments in numerous IoTsupporting technologies (Maratha et al, 2020(Maratha et al, , 2021. However, when the components of system cooperate as well as interact more, new potentially unidentified dependencies arise.…”

Section: Introductionmentioning

confidence: 99%

Reliability on the Internet of Things with designing approach for exploratory analysis

Singh,

Yadav,

Singh

et al. 2024

Front. Comput. Sci.

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The Internet of Things (IoT) proposes to transform human civilization so that it is smart, practical, and highly efficient, with enormous potential for commercial as well as social and environmental advantages. Reliability is one of the major problems that must be resolved to enable this revolutionary change. The reliability issues raised with specific supporting technologies for each tier according to the layered IoT reliability are initially described in this research. The research then offers a complete review and assessment of IoT reliability. In this paper, various types of reliability on the IoT have been analyzed with each layer of IoT to solve the issues of failure rates, latency, MTTF, and MTBF. Each parameter has a certain classification and perception as well as enhancement in efficiency, accuracy, precision, timeliness, and completeness. Reliability models provide efficient solutions for different IoT problems, which are mirrored in the proposed study and classified with four types of reliabilities. The field of IoT reliability exploration is still in its initial phases, despite a sizable research record. Furthermore, the recent case study of CHISS is elaborated with discovered behaviors including brand-new aspects such as the multifaceted nature of evolving IoT systems, research opportunities, and difficulties.

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Enhanced Fuzzy Logic Zone Stable Election Protocol for Cluster Head Election (E-FLZSEPFCH) and Multipath Routing in wireless sensor networks

Ali

Masud

et al. 2024

Ain Shams Engineering Journal

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Energy balanced, delay aware multi-path routing using particle swarm optimisation in wireless sensor networks

Cited by 8 publications

References 0 publications

An Effective Wireless Sensor Network Routing Protocol Based on Particle Swarm Optimization Algorithm

An Effective Wireless Sensor Network Routing Protocol Based on Particle Swarm Optimization Algorithm

Reliability on the Internet of Things with designing approach for exploratory analysis

Enhanced Fuzzy Logic Zone Stable Election Protocol for Cluster Head Election (E-FLZSEPFCH) and Multipath Routing in wireless sensor networks

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