Thongthavorn, Thananop
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Thongthavorn, Thananop
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thananop.th@kmitl.ac.th
8 results
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Item type:Publication, Adaptive gateway discovery for load distribution in hybrid wireless networks(2018-07-02); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Global-Scale Flow Routing for Load-Balancing in In-Band Software-Defined MANET(2025-01-01); Mobile Ad Hoc Networks (MANETs) typically operate with limited resources; therefore, achieving better load distribution among mobile nodes can significantly enhance network performance by improving resource utilization. In distributed load-balancing protocols, a lack of global network topology information causes source nodes to make load-balancing routing decisions without awareness of other active paths. As a result, overlapping paths from different source nodes tend to be formed, increasing network congestion and packet collision probability, which ultimately degrades network performance. A Software-Defined MANET (SD-MANET) is a promising solution to this problem since the controller can make a routing decision for source nodes based on up-to-date network topology snapshots. In this paper, we propose a global-scale flow routing algorithm based on an in-band SD-MANET architecture. Once the controller aggregates local network data into a global topology view, it can identify a path that avoids using any nodes currently serving as a relay in other active paths. The controller then establishes or switches the active flow to the new route depending on the current network situation. Simulation results show that our proposed work can effectively reduce the number of overlapping paths, resulting in lower load balancing errors and a higher packet delivery ratio. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Deep Learning-Based Early Detection and Avoidance of Traffic Congestion in Software-Defined Networks(2022-01-01); ; 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. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Overhead reduction of location-Aided gateway discovery protocols(2017-02-23); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A dynamic routing for load distribution in mobile Ad-Hoc network(2018-01-01); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Low overhead localized routing in mobile Ad Hoc networks(2019-01-01); ; Phankaew, ChanakanMobile Opportunistic Networks (OppNets) are infrastructure-less networks consisting of wireless mobile nodes and have been a focus of research for years. OppNets can be scaled up to support rapid growth of wireless devices and technologies, especially smartphones and tablets. Mobile Ad Hoc Networks (MANETs), one of OppNets technologies, have a high potential to be used for facilitating an extension for the Internet and a backup communication platform in disaster situation. However, a connection disruption due to node mobility and unreliable wireless links is possible to trigger a flooding operation of route repair process. This results in transmission delay and packet loss. The flooding of routing packets is an expensive operation cost in MANETs which affects network reliability and wastes limited resources such as network bandwidth and node energy. These are obstacles to practical implementation of MANETs in real-world environment. In this paper, we propose Low Overhead Localized Flooding (LOLF), an efficient overhead reduction routing extension based on Query Localization (QL) routing protocol. The purpose of this work is to control the propagation of routing packets in the route discovery and route repair mechanisms while incurring only a small increase in the size of control information in the packet. Simulation results from extensive experiments show that our proposed method can reduce overall routing overhead, energy consumption, and end-to-end delay without sacrificing the packet delivery ratio compared to existing protocols. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Integration of MANET with In-Band SDN Controller(2021-01-01); 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. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A study on overhead reduction for GPS-assisted mobile ad-hoc networks(2015-01-01);