Do Hyeon Lee

Bio: Do Hyeon Lee is an academic researcher. The author has contributed to research in topics: Routing protocol & Equal-cost multi-path routing. The author has an hindex of 1, co-authored 1 publications receiving 2 citations.

Novel routing protocol scheme for real-time applications in mobile Ad Hoc networks

Abstract: In mobile Ad Hoc networks (MANETs), flooding-based route discovery is usually preferred in order to set up the route with reliability between transmission pair. However, this approach may cause a serious contention in transmission between adjacent nodes and a considerable amount of control packets. In addition, most of Ad Hoc routing protocols establish the route with minimum hop count. Consequently, the performance of Ad Hoc routing protocol is considerably affected by link (or route) duration since the network comprises the nodes with unrestricted mobility and constrained range in transmission. This paper proposes novel routing protocol that aims to (1) minimize routing overhead in route discovery procedure, and (2) guarantee a reliable and fast packet delivery between source and destination, especially in providing real-time applications over MANETs. To achieve this objective, we introduce relay region (RR) within the transmission range of nodes in order to select optimal next relaying nodes for supporting specific application requirements in route discovery procedure. The RR is defined by the limited distance progress in transmission to next relaying node in order to maintain the established route for an arbitrary length of time (i.e., route duration) while meeting packet delivery reliability and delay constraints. In performance evaluation, the simulation results showed that the proposed scheme can significantly improve the performance in comparison with the previous routing algorithms in terms of packet delivery ratio and packet delivery latency, reducing transmission redundancy in route discovery procedure.

AQ-Routing: mobility-, stability-aware adaptive routing protocol for data routing in MANET–IoT systems

Abstract: Internet of Things, is an innovative technology which allows the connection of physical things with the digital world through the use of heterogeneous networks and communication technologies. In an IoT system, a major role is played by the wireless sensor network as its components comprise: sensing, data acquiring, heterogeneous connectivity and data processing. Mobile ad-hoc networks are highly self reconfiguring networks of mobile nodes which communicate through wireless links. In such a network, each node acts both as a router and host at the same time. The interaction between MANETs and Internet of Things opens new ways for service provision in smart environments and challenging issues in its networking aspects. One of the main issues in MANET–IoT systems is the mobility of the network nodes: routing protocol must react effectively to the topological changes into the algorithm design. We describe the design and implementation of AQ-Routing, and analyze its performance using both simulations and measurements based on our implementation. In general, the networking of such a system is very challenging regarding routing aspects. Also, it is related to system mobility and limited network sensor resources. This article builds upon this observation an adaptive routing protocol (AQ-Routing) based on Reinforcement Learning (RL) techniques, which has the ability to detect the level of mobility at different points of time so that each individual node can update routing metric accordingly. The proposed protocol introduces: (i) new model, developed via Q-learning technique, to detect the level of mobility at each node in the network; (ii) a new metric, called $$Q_{\textit{metric}},$$ which account for the static and dynamic routing metrics, and which are combined and updated to the changing network topologies. The protocol can efficiently handle network mobility by a way of preemptively adapting its behaviour thanks to the mobility detection model. The presented results of simulation provide an effective approach to improve the stability of links in both static and mobile scenario and, hence, increase the packet delivery ratio in the global MANET–IoT system.

Trust-adaptive Fuzzy-Statistical Protocol for Optimizing the Communication in Attacked Network

Abstract: Man-in-Middle attack and congestion are challenging issues in a wireless network. In this paper, a load, congestion and attack-aware Fuzzy-Statistical DSR (FSDSR) protocol is suggested for optimizi...