Energy Aware IoT Routing Algorithms in Smart City Environment

Ekler, Péter; Levendovszky, János; Pásztor, Dániel

doi:10.1109/access.2022.3199757

Cited by 7 publications

(6 citation statements)

References 38 publications

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“…Here, the experiment is conducted to validate the outcome achieved using EAR, reliable and energyefficient routing (REER) [19], LEACH [26], and low energy adaptive cluster head-quality of service (LEACH-QoS) [26], and the sensoria simulator [30] is used for evaluating different routing models. All the models considered for evaluation are implemented using C# programming language.…”

Section: Results and Analysismentioning

confidence: 99%

“…When choosing the CH or relay nodes, nevertheless, ESCR fails to consider QoS [18]. The relay nodes function as a hopping node, shortening the path from the remote sensing device to the BS/sinks [26], [27]. In finding more optimal path in [28] used ant colony optimization technique and in [29] introduced dynamic routing mechanism to enhance energy efficiency; however, the reliability of less packet failure is not considered in routing decision.…”

Section: Related Workmentioning

confidence: 99%

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Energy aware reliable routing model for sensor network enabled internet of things environment

Mysuru Srikantha,

Kuzhalvaimozhi,

Mallikarjun Silli

et al. 2023

IJEECS

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Wireless sensor networks (WSNs), which are facilitated by the internet of things (IoTs), can be difficult to improve the lifespan of the network target area. Although the hotspot issue (i.e., the cluster head closest to the base station fails quickly) is mitigated by the clustered-based routing technique, it still has an important effect on the network's lifespan and target area. However, improper distribution of load between cluster heads has been shown to negatively impact network lifespan efficiency, so even though unequal clusters have been utilized successfully to tackle the hotspot issue, further work is needed. This study provides an energy-aware reliable routing (EARR) model for resolving the hotspot as well as load balancing issues simultaneously. To extend the lifespan of the network, the EARR model effectively minimizes energy consumption by the cluster heads using enhanced multi-objective optimization parameters. Further, EARR provides improved routing optimization metrics to improve data delivery with energy efficiency, less delay, and packet loss. The results of the experiments demonstrate that the EARR model provides excellent throughput and lifespan efficiency with low delay and communication overhead.

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Section: Results and Analysismentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Energy aware reliable routing model for sensor network enabled internet of things environment

Mysuru Srikantha,

Kuzhalvaimozhi,

Mallikarjun Silli

et al. 2023

IJEECS

View full text Add to dashboard Cite

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“…The analysis from the simulation outcomes revealed the findings that the IEEPB routing exhibited superior performance compared to the LEACH and modified IEEPB (M-IEEPB) routing approaches. Ekler et al [25] proposed novel routing methods that aimed to enhance the longevity of WSNs. These methods focused on attaining the best possible energy balancing while ensuring that each of the packets are transmitted towards the BS having a predetermined likelihood.…”

Section: Literature Surveymentioning

confidence: 99%

“…Once we get set of active nodes a path is constructed towards BS using multi-objective function defined in (15) where ℰ defines residual energy, ℋ defines hop count, and ℱ defines failure rate. In finding the best path this work uses Dragonfly Algorithm (DA) [25]. The objective of minimization function to find optimal path is given in (16).…”

Section: Unequal Clustering and Ch Selection By Modelling Overlap Of ...mentioning

confidence: 99%

Energy efficient reliable data transmission for optimizing IoT data transmission in smart city

Desai,

Kulkarni

2024

IJEECS

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The rapid proliferation of the internet of things (IoT) technology has significantly transformed urban landscapes, giving rise to smart city frameworks that leverage interconnected devices for enhanced efficiency and functionality. In these environments, vast amounts of data are generated by diverse sensors and devices, necessitating advanced strategies for effective data collection and transmission. This paper introduces a novel approach to address data collection and transmission challenges in IoT-enabled smart city frameworks. The proposed design integrates IoT-Cloud for efficient data collection and employs the energy efficient reliable data transmission (EERDT) model, optimizing IoT data transmission. The enhanced dragonfly routing algorithm, incorporating the firefly algorithm, enhances data routing efficiency. Experimental results demonstrate EERDT's superiority over energy-aware iot-routing (EAIR) and location-centric energy-harvesting aware-routing (LCEHAR), revealing significant improvements in communication overhead, data processing latency, and network lifetime. The EERDT exhibits substantial reductions in communication overhead, enhancing overall network performance. The EERDT model showcases lower data processing latency and energy consumption, highlighting its potential for resource-efficient IoT data transmission. This work contributes an innovative solution for smart city IoT networks, emphasizing performance enhancements and resource efficiency.

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“…However, system complexity and overhead may increase by considering two-hop neighbor information [19]. At the same time, two-hop neighbor information extends the local view of the network.…”

Section: Introductionmentioning

confidence: 99%

Distributed Energy-Efficient Clustering and Routing for Wearable IoT Enabled Wireless Body Area Networks

2023

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Recently, the wearable internet of things (WIoT) has brought a new dimension of connectivity to wireless body area networks (WBANs). For instance, the WIoT provides valuable functions, such as collecting, analyzing, and transmitting data for real-time health monitoring of medical services. However, designing a clustering and routing protocol is challenging because WIoT attributes are subject to high interference in dense deployment, social mobility, and limited energy. In a WIoT-enabled WBAN, cooperative control is the fundamental function of clustering and routing. Cluster-based routing protocols are preferred for WBAN because of their scalability. However, one-hop neighbor-based clustering approaches do not ensure connectivity and reachability owing to node mobility. The existing two-hop-based clustering protocols are mostly centralized-based approaches, which are unsuitable for dynamic WBANs. In this paper, we propose a distributed energy-efficient two-hop-based clustering and routing protocol (DECR) targeting WIoT-enabled WBAN. In DECR, in the cluster formation phase, each node obtains the information of its neighbor nodes within the two-hop range. We utilize the modified grey-wolf optimization algorithm for the cluster head (CH) selection and routing optimization. Node connectivity and residual energy were jointly considered when determining the CH in each cluster. We also developed an analytical model to determine the optimal number of clusters by considering intra-and inter-cluster transmission distances to reduce the overall transmission distance and number of transmissions. Finally, we proposed a routing algorithm to ensure energy-efficient packet delivery from CH to sink. Our simulation outcomes revealed that the proposed DECR significantly outperforms the existing clustering and routing protocols in various performance metrics.INDEX TERMS Wearable internet of things, clustering, two-hop range, distributed, cluster head, energyefficiency, grey wolf optimization, routing, wireless body area network (WBAN).

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Energy Aware IoT Routing Algorithms in Smart City Environment

Cited by 7 publications

References 38 publications

Energy aware reliable routing model for sensor network enabled internet of things environment

Energy aware reliable routing model for sensor network enabled internet of things environment

Energy efficient reliable data transmission for optimizing IoT data transmission in smart city

Distributed Energy-Efficient Clustering and Routing for Wearable IoT Enabled Wireless Body Area Networks

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