Robot Local Network Using TQS Protocol for Land-to-Underwater Communications

• Autorzy: Irawan Addie , Abas Mohammad Fadhil , Hasan Nurulfadzilah

Identyfikatory

DOI

10.26636/jtit.2019.125818

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

class of service; land-to-underwater communications; robot local network; tag switching

• Wydawca: Instytut Łączności - Państwowy Instytut Badawczy
• Czasopismo: Journal of Telecommunications and Information Technology
• Rocznik: 2019
• Tom: nr 1
• Strony: 23--30
• Opis fizyczny: Bibliogr. 33 poz., rys., tab.

Twórcy

autor

Irawan Addie

• Robotics and Unmanned Systems (RUS) research group, Faculty of Electrical and Electronics Engineering, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia

autor

Abas Mohammad Fadhil

• Robotics and Unmanned Systems (RUS) research group, Faculty of Electrical and Electronics Engineering, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia

autor

Hasan Nurulfadzilah

• Applied Electronics (AE) research group, Faculty of Electrical and Electronics Engineering, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).