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DrivingStyles: A Mobile Platform for Driving Styles and Fuel Consumption Characterization
Javier E. Meseguer,Chai Keong Toh,Carlos T. Calafate,Juan-Carlos Cano,Pietro Manzoni 한국통신학회 2017 Journal of communications and networks Vol.19 No.2
Intelligent transportation systems (ITS) rely on connectedvehicle applications to address real-world problems. Researchis currently being conducted to support safety, mobility andenvironmental applications. This paper presents the DrivingStylesarchitecture, which adopts data mining techniques and neural networksto analyze and generate a classification of driving styles andfuel consumption based on driver characterization. In particular,we have implemented an algorithm that is able to characterize thedegree of aggressiveness of each driver. We have also developed amethodology to calculate, in real-time, the consumption and environmentalimpact of spark ignition and diesel vehicles from a set ofvariables obtained from the vehicle’s electronic control unit (ECU). In this paper, we demonstrate the impact of the driving style onfuel consumption, as well as its correlation with the greenhouse gasemissions generated by each vehicle. Overall, our platform is ableto assist drivers in correcting their bad driving habits, while offeringhelpful tips to improve fuel economy and driving safety.
An Efficient On-Demand Routing Approach with Directional Flooding forWireless Mesh Networks
Dong-Won Kum,Anh-Ngoc Le,조유제,Chai Keong Toh,In-Soo Lee 한국통신학회 2010 Journal of communications and networks Vol.12 No.1
Current on-demand ad-hoc routing protocols are not appropriate for wireless mesh networks (WMNs), because floodingbased route discovery is both redundant and expensive in terms of controlmessage overhead. In this paper, we propose an efficient ondemand routing approach with directional flooding (DF), which is suitable for the WMNs with limitedmobility. In the route discovery process to reach a gateway, our DF scheme can reduce the number of route request (RREQ) packets broadcast by using a restricted directional flooding technique. Simulation results show that ad hoc on-demand distance vector (AODV) with DF (AODV-DF) can significantly reduce routing overhead by RREQ packets and enhance overall performance compared with the original AODV.
Routing with Load-Balancing in Multi-Radio Wireless Mesh Networks
LE, Anh-Ngoc,KUM, Dong-Won,CHO, You-Ze,TOH, Chai-Keong The Institute of Electronics, Information and Comm 2009 IEICE TRANSACTIONS ON COMMUNICATIONS - Vol.92 No.3
<P>This paper addresses the interference and load imbalance problems in multi-radio infrastructure mesh networks where each mesh node is equipped with multiple radio interfaces and a subset of nodes serve as Internet gateways. To provide backbone support, it is necessary to reduce interference and balance load in Wireless Mesh Networks (WMNs). In this paper, we propose a new Load-Aware Routing Metric, called LARM, which captures the differences in transmission rates, packet loss ratio, intra/inter-flow interference and traffic load in multi-radio mesh networks. This metric is incorporated into the proposed load-balancing routing, called LBM, to provide load balancing for multi-radio mesh network. Simulation results show that LARM provides better performance compared to WCETT and hop-count routing metrics in LBM routing protocol.</P>
An Efficient On-Demand Routing Approach with Directional Flooding for Wireless Mesh Networks
Kum, Dong-Won,Le, Anh-Ngoc,Cho, You-Ze,Toh, Chai Keong,Lee, In-Soo The Korea Institute of Information and Commucation 2010 Journal of communications and networks Vol.12 No.1
Current on-demand ad-hoc routing protocols are not appropriate for wireless mesh networks (WMNs), because flooding-based route discovery is both redundant and expensive in terms of control message overhead. In this paper, we propose an efficient on-demand routing approach with directional flooding (DF), which is suitable for the WMNs with limited mobility. In the route discovery process to reach a gateway, our DF scheme can reduce the number of route request (RREQ) packets broadcast by using a restricted directional flooding technique. Simulation results show that ad hoc on-demand distance vector (AODV) with DF (AODV-DF) can significantly reduce routing overhead by RREQ packets and enhance overall performance compared with the original AODV.