Thongthavorn, Thananop

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Thongthavorn, Thananop
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thananop.th@kmitl.ac.th

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    Item type:Publication,
    Adaptive gateway discovery for load distribution in hybrid wireless networks
    (2018-07-02)
    Thongthavorn, Thananop
    ;
    Narongkhachavana, Worrawat
    ;
    Namuduri, Kamesh
    ;
    Prabhavat, Sumet
    Mobile Ad hoc Networks (MANETs) have a limitation in information transmission capability since nodes in the network cannot communicate with any nodes in another network. Hybrid Wireless Networks (HWNs) is proposed for connecting MANETs to another network through gateway nodes that act as a bridge between the networks. Limited energy resource to HWNs is a challenging issue. If a source node selects a gateway and a route to it without considering the available energy of relay nodes, the probability of route breakage may increase leading to network instability and network partition problem. In order to mitigate these problems, an effective load balancing algorithm should be applied to HWNs. In this paper, we propose an adaptive gateway discovery algorithm aimed to create a well-balanced network. We also propose using a directional flooding technique to alleviate the drawback of load balancing information flood. Simulation results show that our protocol distributes the workload to mobile nodes more evenly. As a result, our protocol further extends the network lifetime without sacrificing the network performance when compared to the existing protocols.
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    Deep Learning-Based Early Detection and Avoidance of Traffic Congestion in Software-Defined Networks
    (2022-01-01)
    Prabhavat, Sumet
    ;
    Thongthavorn, Thananop
    ;
    Pasupa, Kitsuchart
    Software-defined Networking (SDN) provides an easy way to monitor network and traffic conditions by employing software-based controllers to communicate with the hardware directly. It provides helpful information that enables efficient routing decisions. This research study attempted to use deep learning techniques - Long Short-term Memory, Bidirectional Long Short-term Memory, and Gated Recurrent Unit - to predict network traffic to allow the controller to early detect congestion. The traffic flow in a network link that will likely be congested will be rerouted to a new path with the largest available bandwidth. Various scenarios were simulated to evaluate our deep learning-based SDN controller (Ryu controller platform). The results show that our proposed deep learning-based SDN controller outperformed the traditional load balancing technique.
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    Overhead reduction of location-Aided gateway discovery protocols
    (2017-02-23)
    Thongthavorn, Thananop
    ;
    Narongkhachavana, Worrawat
    ;
    Prabhavat, Sumet
    Integration of mobile ad-hoc networks (MANETs) into infrastructure-based networks allows mobile users to access other networks. At a network boundary, some node with multiple interfaces plays an important role as a gateway. Gateway discovery mechanism is necessary for mobile nodes to discover nearby gateways but causes message exchange overhead. In order to control the overhead, we present a novel location-Aided gateway discovery protocol with directional broadcast algorithm and Solicitation technique. Simulation results show that our proposed protocol can reduce the overhead, as compared to conventional protocols. Moreover, it improves packet delivery ratio, end-To-end delay, and gateway discovery time.
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    A dynamic routing for load distribution in mobile Ad-Hoc network
    (2018-01-01)
    Rungtaveesak, Metha
    ;
    Chartkajekaew, Noppawit
    ;
    Thongthavorn, Thananop
    ;
    Narongkhachavana, Worrawat
    ;
    Prabhavat, Sumet
    Mobile Ad Hoc Network is a group of mobile nodes which can communicate with each other directly without infrastructure device. Most conventional protocols do not consider energy on route discovery. Route breaks may occur frequently since the energy of some intermediate nodes exhausts. This interrupts the packet forwarding. In this paper, we propose load distribution algorithm based on remaining energy of nodes to prolong network lifetime and load balancing. Simulation results show that our work can increase the number of remaining nodes in the network while maintaining high packet delivery ratio.
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    Integration of MANET with In-Band SDN Controller
    (2021-01-01)
    Thongthavorn, Thananop
    ;
    Prabhavat, Sumet
    Mobile Ad Hoc Networks (MANETs) are Infrastructureless mobile networks that can be formed with a group of wireless devices. To establish communication, MANETs require a routing protocol to discover an end-to-end route under uncertain network topology due to node mobility. The traditional reactive routing protocol discovers the shortest route using only the node’s local information and keeps utilizing the route until it collapses. This kind of method might not conform to the recent network condition. In this paper, we propose an SDN- based routing protocol for MANETs. By assigning a node in the network to act as an SDN controller, the route discovery action will be centralized. Since the SDN controller is not designed to support multi-hop wireless communication, we additionally design a mechanism to maintain connectivity between the controller and mobile nodes. The controller utilizes link-state information of every node to decide a route upon request. The simulation result shows that the proposed protocol overcomes the aforementioned routing problem. The generated route requests are decreased which indicating an increase in route stability, resulting in a better packet delivery ratio.
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    A study on overhead reduction for GPS-assisted mobile ad-hoc networks
    (2015-01-01)
    Thongthavorn, Thananop
    ;
    Narongkhachavana, Worrawat
    ;
    Prabhavat, Sumet
    Nowadays mobile ad-hoc network (MANET) is focused by many researchers and striving to be deployed in practice. To achieve this goal, these two factors is major problem that we have to consider. The first one is overhead. In the other word, messages that are not necessary to be sent when establish network connection between mobile nodes. The next problem is packet sending rate from source to destination node that high enough to guarantee successful network connection. This paper is focusing on improved the performance of Location-Aided Routing Protocol (LAR) in term of overhead reduction by modifying the algorithm of MANET route discovery process. The result of simulation show that proposed protocol can reduce overhead drastically, expanding network lifetime and increase packet sending rate while comparing with other conventional protocol.