Internet of things multi hop energy efficient cluster-based routing using particle swarm optimization

Senthil, G. A.; Raaza, Arun; Kumar, N.

doi:10.1007/s11276-021-02801-0

Cited by 21 publications

(4 citation statements)

References 19 publications

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“…To evaluate the overall performance, the proposed TMERP was compared with the EEMR, 17 ACACO, 18 PSOFCA 19 and APSA 24 . The evaluation metrics used for the performance evaluation were the routing overhead, energy consumption, hop count, average reliability, average link connectivity, and maximum round of networks 31,32 . The network parameters adopted in the simulation are shown in Table 3.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

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

Roberts¹,

Thangavel²

2022

Concurrency and Computation

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Recently, wireless sensor networks (WSNs) and Internet of Things (IoTs) have emanated as an indispensable assets that play a critical role in revolutionizing the field of data communication. Owing to the evolution of communication standards, research trends in IoT based wireless sensor networks have been rapidly progressing toward achieving effective data routing with a prolonged network lifetime and minimized energy consumption. In this article, an optimized ticket manager based energy-aware multipath routing protocol (TMERP) is proposed. The proposed protocol design comprises three important functional entities: ticket manager (TM), routing planner (RP), and backup node (BN). The TM is responsible for controlling and monitoring all the constraints related to networking. Then, the RP minimizes the overall complexity of the optimal resource allocation by avoiding an end-to-end delay. Finally, the BN facilitates efficient data routing through the optimal selection of routing paths using the node trust evaluation and backup process to minimize data loss. Hence, the proposed multipath routing system has a distinct advantage in enhancing the network lifetime constraint with minimal energy consumption owing to the collective performance of its functional entities. The simulation results of the experimental studies show that the proposed protocol design achieved an improved performance in terms of network energy, throughput, and network operational lifetime by 39.3%, 47.9%, and 10.5%, respectively when compared with similar existing protocols.

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Section: Simulation Results and Discussionmentioning

confidence: 99%

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

Roberts¹,

Thangavel²

2022

Concurrency and Computation

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“…In [49], authors have integrated the Moth Flame Optimization (MFO) and Ant Lion Optimization (ALO) methods to improve the efficiency of cluster-head selection. The main goal of this approach is to equilibrate the temperature and workload of IoT devices in order to preserve energy.In their study, [50] proposed a new hierarchical routing approach that relies on the particle swarm optimization (PSO) algorithm. They formulated the initial fitness function by considering many relational characteristics, such as the centroid degree of the covering region, the average distance between neighboring nodes, and the residual energy of the nodes.…”

Section: Background and Related Workmentioning

confidence: 99%

“…A vigilant node is allocated to each cluster to observe the actions of the cluster leader and members using the optimization process. In [50], the firefly optimization process was employed to enhance the longevity of the network and the ratio of successful packet transmissions. They achieved this by implementing EEOPS-RPL, an energy-efficient optimum parent selection method in RPL.…”

Section: Background and Related Workmentioning

confidence: 99%

Improving Energy Efficiency Using IoT Technology through the Development of a Smart Network Clustering Path Determined by the Distance between Nodes

Radwan

2024

Preprint

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The main challenge for IoT-enabled networks lies in the transmission of large volumes of data produced by sensor nodes. The overconsumption of communication power presents a risk to the longevity of nodes. Hence, it is imperative to offer remedies for network-related problems such as Quality of Service (QoS), security, network heterogeneity, congestion avoidance, reliable routing, and energy conservation. Routing protocols are crucial for addressing the aforementioned issues of sending data across different firms. Data aggregation techniques are essential for the collection and consolidation of information in order to reduce traffic congestion , operational costs, energy consumption, and the lifespan of the network. Developing reliable, energy-efficient, and efficient route planning is challenging in scenarios where data is aggregated for Internet of Things (IoT) applications. The current investigation presents a novel routing system named Cluster-based Energy-aware & Nearest Neighbour Protocol (CEnNP), which utilizes NS2 simulation. The technique use decision trees and neural networks to evaluate the probability of a successful delivery. When training the model, we consider various factors such as the predictability value obtained from the CEnNP routing scheme, node popularity, node power consumption, speed, and location. The simulation findings indicate that CEnNP outperforms a reliable routing system for NS2 1 in terms of successful deliveries, lost messages, overhead, and hop count. However , these enhancements result in only marginal increments in buffer length and buffer occupancy levels. The proposed hybrid routing technique consists of two main stages: cluster formation and intra-and inter-cluster routing. The findings indicate that CEnNP outperforms prior studies in terms of network resilience, packet transmission efficiency, end-to-end delay, and energy consumption

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“…With the advancement of transmission technology involving radio frequency identification and wireless sensor networks (WSNs), IoT offers immediate access to data of all devices, ensuring great efficiency and productivity [2]. IoT enables things and people for communicating anywhere, anytime, with anyone and anything utilizing any service and network, depending on WSN technologies [3].…”

Section: Introductionmentioning

confidence: 99%

Hybrid Sine-Cosine Black Widow Spider Optimization based Route Selection Protocol for Multihop Communication in IoT Assisted WSN

2023

Teh. vjesn.

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In the modern era, Internet of Things (IoT) has been a popular research topic and it focuses on interconnecting numerous sensor-based devices primarily for tracking applications and collecting data. Wireless Sensor Networks (WSN) becomes a significant element in IoT platforms since its inception and turns out to be the most ideal platform for deploying various smart city application zones namely disaster management, home automation, intelligent transportation, smart buildings, and other IoT-enabled applications. Clustering techniques were commonly used energy-efficient methods with the main purpose that is to balance the energy between Sensor Nodes (SN). Routing and clustering are Non-Polynomial (NP) hard issues where bio-inspired approaches were used for a known time to solve these issues. This study introduces a Hybrid Sine-Cosine Black Widow Spider Optimization based Route Selection Protocol (HSBWSO-RSP) for Mulithop Communication in IoT assisted WSN. The presented HSBWSO-RSP technique aims to properly determine the routes to destination for multihop communication. Moreover, the HSBWSO-RSP approach enables the integration of variance perturbation mechanism into the traditional BWSO algorithm. Furthermore, the selection of routes takes place by a fitness function comprising Residual Energy (RE) and distance (DIST). The experimental result analysis of the HSBWSO-RSP technique is tested using a series of experimentations and the results are studied under different measures. The proposed methodology achieves 100% packet delivery ratio, no packet loss and 2.33 secs end to end delay. The comparison study revealed the betterment of the HSBWSO-RSP technique over existing routing techniques.

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Internet of things multi hop energy efficient cluster-based routing using particle swarm optimization

Cited by 21 publications

References 19 publications

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

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

Improving Energy Efficiency Using IoT Technology through the Development of a Smart Network Clustering Path Determined by the Distance between Nodes

Hybrid Sine-Cosine Black Widow Spider Optimization based Route Selection Protocol for Multihop Communication in IoT Assisted WSN

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