Abstract
Routing discovery is an essential component of the communication stack in low-power and lossy networks (LLNs). IPv6 routing protocol for LLNs, termed RPL, has been recently standardized for routing in LLNs leading to the Internet of Things (IoT) concept. RPL is designed with an assumption of gathering data towards a single destination, typically the root node. On the other hand, the arbitrary communication, where neither the source nor the destination is the root, is a prime requirement in most of LLNs-based actuating, decision making, and controlling applications. In this paper, we propose a reliable and low-latency routing mechanism based on RPL for high arbitrary communications in LLNs that is referred to herein by RL-RPL. RL-RPL utilizes the original RPL control features to guarantee backward-compatibility with RPL specifications. Using the cooja emulator as a platform, RL-RPL shows enhanced packet delivery ratio relative to the standard routing mechanism. In addition, it shows an average 74% reduction in delay together with an average 21.3% reduction in energy consumption across the considered traffic intensities.
| Original language | English |
|---|---|
| Title of host publication | 2019 14th IEEE Malaysia International Conference on Communication |
| Subtitle of host publication | Emerging Technologies in IoE and 5G, MICC 2019 |
| Editors | Gan Kok Beng, Norhana Arsad, Mohd Fais Mansor |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 81-85 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781728147376 |
| DOIs | |
| State | Published - Dec 2019 |
Publication series
| Name | 2019 14th IEEE Malaysia International Conference on Communication: Emerging Technologies in IoE and 5G, MICC 2019 |
|---|
Bibliographical note
Publisher Copyright:© 2019 IEEE.
Keywords
- IEEE 802.15.4
- Internet of Things
- RPL
- load balancing
- low-power lossy network
- routing
- wireless sensor network
ASJC Scopus subject areas
- Computer Networks and Communications
- Hardware and Architecture
- Signal Processing
- Atomic and Molecular Physics, and Optics
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