Energy and Load Aware Routing Protocol for Internet of Things

Sankar, S.; Srinivasan, Padmini

doi:10.11591/ijaas.v7.i3.pp255-264

Cited by 14 publications

(5 citation statements)

References 9 publications

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“…Cluster-based routing is undertaken by LLN [16]. The entire network is divided into multiple clusters of unequal size, and the cluster head is chosen according to the residual energy of each node.…”

Section: Literature Surveymentioning

confidence: 99%

Fuzzy Aggregator Based Energy Aware RPL Routing for IoT Enabled Forest Environment

Srividhya¹,

Sankaranarayanan²,

Kozlov³

et al. 2022

Computers, Materials &Amp; Continua

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Forested areas are extremely vulnerable to disasters leading to environmental destruction. Forest Fire is one among them which requires immediate attention. There are lot of works done by authors where Wireless Sensors and IoT have been used for forest fire monitoring. So, towards monitoring the forest fire and managing the energy efficiently in IoT, Energy Efficient Routing Protocol for Low power lossy networks (E-RPL) was developed. There were challenges about the scalability of the network resulting in a large end-to-end delay and less packet delivery which led to the development of Aggregator-based Energy Efficient RPL with Data Compression (CAA-ERPL). Though CAA-ERPL proved effective in terms of reduced packet delivery, less energy consumption, and increased packet delivery ratio for varying number of nodes, there is still challenge in the selection of aggregator which is based purely on probability percentage of nodes. There has been research work where fuzzy logic been employed for Mobile Ad-hoc Routing, RPL routing and cluster head selection in Wireless Sensor. There has been no work where fuzzy logic is employed for aggregator selection in Energy Efficient RPL. So accordingly, we here have proposed Fuzzy Based Aggregator selection in Energy-efficient RPL for region thereby forming DODAG for communicating to Fog/Edge. We here have developed fuzzy inference rules for selecting the aggregator based on strength which takes residual power, Node degree, and Expected Transmission Count (ETX) as input metrics. The Fuzzy Aggregator Energy Efficient RPL (FA-ERPL) based on fuzzy inference rules were analysed against E-RPL in terms of scalability (First and Half Node die), Energy Consumption, and aggregator node energy deviation. From the analysis, it was found that FA-ERPL performed better than E-RPL. These were simulated using MATLAB and results.

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Section: Literature Surveymentioning

confidence: 99%

Fuzzy Aggregator Based Energy Aware RPL Routing for IoT Enabled Forest Environment

Srividhya¹,

Sankaranarayanan²,

Kozlov³

et al. 2022

Computers, Materials &Amp; Continua

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“…Finally, sender or participant node sends the data to DODAG root towards the best parent in the DODAG. Thus, it improves the packet delivery ratio, reduce the traffic load and improve network lifetime [1].…”

Section: Related Workmentioning

confidence: 99%

“…Firstly, the wireless sensor network (WSN) empowers pervasive sensing technologies. By the evolution of the WSN technology, the Internet of Things (IoT) was created through the application and proliferation of these sensing devices [1,2]. IoT, as the next revolution, interconnects smart objects and develops an intelligent space.…”

Section: Introductionmentioning

confidence: 99%

<strong></strong>An Energy and Load Aware Multipath Routing Protocol in the Internet of Things

R¹,

Bagherifard²,

Ravaei³

et al. 2020

Preprint

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Internet of things (IoT) is a network of smart things. This indicates the ability of these physical things to transfer information with other physical things. The characteristics of these networks, such as topology dynamicity and energy constraint, challenges the routing problem in these networks. Previous routing methods could not achieve the required performance in this type of network. Therefore, developers of this network designed and developed specific methods in order to satisfy the requirements of these networks. One of the routing methods is utilization of multipath protocols which send data to its destination using routes with separate links. One of such protocols is RPL routing protocol. In this paper, this method is improved using composite metrics which chooses the best paths used for separate routes to send packets. We propose Energy and Load aware RPL (ELaM-IoT) protocol, which is an enhancement of RPL protocol. It uses a composite metric, calculated based on remaining energy, hop count, Link Expiration Time (LET), load and battery depletion index (BDI) for the route selection. In order to evaluate and report the results, the proposed ELaM-IoT method is compared to the ERGID and ADRM-IoT approaches with regard to average remaining energy, and network lifetime. The results demonstrate the superior performance of the proposed ELaM-IoT compared to the ERGID and ADRM-IoT approaches.

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“…spectrum sensing, bandwidth sharing, energy optimization, and opportunistic communication to improve the performance of D2D communications. D2D radios may also play a pivotal role in the improvement of operation for the Internet of Things (Khan and Altayar, 2021;Amaonwu et al, 2022;Bello and Zeadally, 2014;Sankar and Srinivasan, 2018). Additionally, Artificial Intelligence can also play a leading role in resource optimization for D2D communication networks (Altaher, 2017;Srinivasulu and Pushpa, 2020;Srinivasulu et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Communication mode selection and game theoretic bandwidth sharing model for D2D relay communication

Zaidi¹,

Shaikh²,

Arfeen³

2023

Int. j. adv. appl. sci.

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Device-to-device (D2D) communication plays a crucial role in achieving successful implementation of 5G+ and 6G wireless networks. The selection of the communication mode is a vital parameter that enables the activation of a communication link through D2D relays. Consequently, this selection can be considered the fundamental functionality responsible for activating the communication mode of transmission within any device-to-device communication network. This research paper proposes a communication mode selection scheme based on a hexagonal cellular structure. The scheme holds significant potential for application in various wireless transmission schemes. Additionally, the paper investigates the issue of bandwidth sharing in device-to-device networks. In future wireless systems, device-centric approaches will be widely adopted, necessitating a key focus on spectrum sharing. The proposed scheme not only facilitates wireless users in sharing their available spectrum with others but also allows them to receive financial rewards in return. This cooperative sharing approach fosters collaboration among wireless users. Furthermore, the paper compares the performance of two utility functions for the purpose of bandwidth sharing. The Cobb-Douglas model is utilized to present the proposed bandwidth-sharing scheme between two users. Simulation experiments are conducted to determine the percentage of bandwidth shared by the two users under various scenarios, including a case where both users share 50% of the bandwidth. The results indicate that the optimal utility function is achieved when one user shares 10% of the bandwidth while the other user shares 90%.

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Energy and Load Aware Routing Protocol for Internet of Things

Cited by 14 publications

References 9 publications

Fuzzy Aggregator Based Energy Aware RPL Routing for IoT Enabled Forest Environment

Fuzzy Aggregator Based Energy Aware RPL Routing for IoT Enabled Forest Environment

<strong></strong>An Energy and Load Aware Multipath Routing Protocol in the Internet of Things

Communication mode selection and game theoretic bandwidth sharing model for D2D relay communication

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