Addie Irawan, Hashim and Mohammad Fadhil, Abas and Nurulfadzilah, Hassan (2019) Robot Local Network Using TQS Protocol for Land-to-Underwater Communications. Journal of Telecommunications and Information Technology, 1 (1). pp. 23-30. ISSN 1509-4553 (print); 1899-8852 (online). (Published)
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Abstract
This paper presents a model and an analysis of the Tag QoS switching (TQS) protocol proposed for heterogeneous robots operating in different environments. Collaborative control is topic that is widely discussed in multirobot task allocation (MRTA)–an area which includes establishing network communication between each of the connected robots. Therefore, this research focuses on classifying, prioritizing and analyzing performance of the robot local network (RLN) model which comprises a point-to-point topology network between robot peers (nodes) in the air, on land, and under water. The proposed TQS protocol was inspired by multiprotocol label switching (MPLS), achieving a quality of service (QoS) where swapping and labeling operations involving the data packet header were applied. The OMNET++ discrete event simulator was used to analyze the percentage of losses, average access delay, and throughput of the transmitted data in different classes of service (CoS), in a line of transmission between underwater and land environments. The results show that inferior data transmission performance has the lowest priority with low bitrates and extremely high data packet loss rates when the network traffic was busy. On the other hand, simulation results for the highest CoS data forwarding show that its performance was not affected by different data transmission rates characterizing different mediums and environments.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | class of service; land-to-underwater communications; robot local network; tag switching |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Electrical & Electronic Engineering |
| Depositing User: | Assoc.Prof Addie Irawan |
| Date Deposited: | 16 Oct 2019 08:15 |
| Last Modified: | 07 Sep 2020 08:29 |
| URI: | http://umpir.ump.edu.my/id/eprint/26088 |
| Download Statistic: | View Download Statistics |
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