Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

An Energy and Load Aware Multipath Routing Protocol in the Internet of Things

Version 1 : Received: 23 November 2020 / Approved: 24 November 2020 / Online: 24 November 2020 (16:23:43 CET)

How to cite: Khaleghnasab, R.; Bagherifard, K.; Ravaei, B.; Parvin, H.; Nejatian, S. An Energy and Load Aware Multipath Routing Protocol in the Internet of Things. Preprints 2020, 2020110624. https://doi.org/10.20944/preprints202011.0624.v1 Khaleghnasab, R.; Bagherifard, K.; Ravaei, B.; Parvin, H.; Nejatian, S. An Energy and Load Aware Multipath Routing Protocol in the Internet of Things. Preprints 2020, 2020110624. https://doi.org/10.20944/preprints202011.0624.v1

Abstract

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.

Keywords

Internet of Things; Load aware; Energy-efficient; Gray System Theory; Multipath protocol

Subject

Computer Science and Mathematics, Algebra and Number Theory

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