TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Yusoff, Nin Hayati Mohd
A1  - Zakaria, Nurul Azma
A1  - Sikora, Axel
A1  - Elayanithottathil, Jubin Sebastian
T1  - 6LoWPAN Protocol in Fixed Environment: A Performance Assessment Analysis
T2  - Proceedings of the 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)
N2  - The Internet of Things (IoT) application has becoming progressively in-demand, most notably for the embedded devices (ED). However, each device has its own difference in computational capabilities, memory usage, and energy resources in connecting to the Internet by using Wireless Sensor Networks (WSNs). In order for this to be achievable, the WSNs that form the bulk of the IoT implementation requires a new set of technologies and protocol that would have a defined area, in which it addresses. Thus, IPv6 Low Power Area Network (6LoWPAN) was designed by the Internet Engineering Task Force (IETF) as a standard network for ED. Nevertheless, the communication between ED and 6LoWPAN requires appropriate routing protocols for it to achieve the efficient Quality of Service (QoS). Among the protocols of 6LoWPAN network, RPL is considered to be the best protocol, however its Energy Consumption (EC) and Routing Overhead (RO) is considerably high when it is implemented in a large network. Therefore, this paper would propose the HRPL to enchance the RPL protocol in reducing the EC and RO. In this study, the researchers would present the performance of RPL and HRPL in terms of EC, Control traffic Overhead (CTO) and latency based on the simulation of the 6LoWPAN network in fixed environment using COOJA simulator. The results show HRPL protocol achieves better performance in all the tested topology in terms of EC and CTO. However, the latency of HRPL only improves in chain topology compared with RPL. We found that further research is required to study the relationship between the latency and the load of packet transmission in order to optimize the EC usage.
Y1  - 2019
SN  - 978-1-7281-4069-8 (digital)
SB  - 978-1-7281-4069-8 (digital)
SN  - 978-1-7281-4068-1 (USB)
SB  - 978-1-7281-4068-1 (USB)
SN  - 978-1-7281-4070-4 (Print on Demand)
SB  - 978-1-7281-4070-4 (Print on Demand)
U6  - https://doi.org/10.1109/IDAACS.2019.8924283
DO  - https://doi.org/10.1109/IDAACS.2019.8924283
VL  - 2
SP  - 1142
EP  - 1147
S1  - 6
PB  - IEEE
ER  -