Citation

Chia, Pei Siang and Kamis, Noor Hisham and Abdul Razak, Siti Fatimah and Yogarayan, Sumendra and Yassin, Warusia and Abdollah, Mohd Faizal (2025) Routing Protocols Performance on 6LoWPAN IoT Networks. IoT, 6 (1). p. 12. ISSN 2624-831X

Text Routing Protocols Performance on 6LoWPAN IoT Networks.pdf - Published Version Restricted to Repository staff only Download (665kB)

Abstract

IPv6 over Low-Power Wireless Personal Area Networks (6LoWPAN) are specifically designed for applications that require lower data rates and reduced power consumption in wireless internet connectivity. In the context of 6LoWPAN, Internet of Things (IoT) devices with limited resources can now seamlessly connect to the network using IPv6. This study focuses on examining the performance and power consumption of routing protocols in the context of 6LoWPAN, drawing insights from prior research and utilizing simulation techniques. The simulation involves the application of routing protocols, namely Routing Protocol for Low-power and Lossy (RPL) Networks, Ad hoc On-demand Distance Vector (AODV), Lightweight On-demand Ad hoc Distance-vector Next Generation (LOADng), implemented through the Cooja simulator. The simulation also runs in different network topologies to gain an insight into the performance of the protocols in the specific topology including random, linear, and eclipse topology. The raw data gathered from the tools including Powertrace and Collect-View were then analyzed with Python code to transfer into useful information and visualize the graph. The results demonstrate that the power consumption, specifically CPU power, Listen Power, and Total Consumption Power, will increase with the incremental of motes. The result also shows that RPL is the most powerefficient protocol among the scenarios compared to LOADng and AODV. The result is helpful because it brings insights into the performance, specifically power consumption in the 6LoWPAN network. This result is valuable to further implement these protocols in the testbed as well as provide an idea of the algorithmic enhancements.

Item Type:	Article
Uncontrolled Keywords:	AODV, Cooja
Subjects:	Q Science > Q Science (General) > Q300-390 Cybernetics
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	30 Apr 2025 06:31
Last Modified:	30 Apr 2025 06:31
URII:	http://shdl.mmu.edu.my/id/eprint/13742

Downloads

Edit (login required)