<P>Considerable research attention has been dedicated to vehicular sensor networks (VSNs) because of its great potential in traffic monitoring. By taking advantage of sensors embedded in vehicles, a VSN harvests data while vehicles are traveling...
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https://www.riss.kr/link?id=A107654901
2018
-
SCI,SCIE,SCOPUS
학술저널
5570-5584(15쪽)
0
상세조회0
다운로드다국어 초록 (Multilingual Abstract)
<P>Considerable research attention has been dedicated to vehicular sensor networks (VSNs) because of its great potential in traffic monitoring. By taking advantage of sensors embedded in vehicles, a VSN harvests data while vehicles are traveling...
<P>Considerable research attention has been dedicated to vehicular sensor networks (VSNs) because of its great potential in traffic monitoring. By taking advantage of sensors embedded in vehicles, a VSN harvests data while vehicles are traveling along the roads and then updates the collected data to the infrastructure to support the intelligent transportation system (ITS) applications. To meet the data collection requirements of different ITS applications, a huge number of update packets are generated, which may exhaust the available wireless communication bandwidth. To improve the efficiency of utilization of wireless bandwidth, in this study, we propose a <I> quality-oriented data collection</I> scheme, which aims to effectively support both the accuracy and real-time requirements stipulated by ITS applications while reducing communication overhead. We formulate a <I>minimized communication overhead (MCO)</I> problem and propose two algorithms, <I>mixed-integer linear programming (MILP)</I> and <I>deviation-detection (DD)</I>, to solve the MCO problem. MILP can obtain the optimal solution by having all the data collected by every vehicle, while DD could achieve an efficient solution without this impractical assumption. We conducted extensive experiments by using SUMO to simulate vehicle traces in freeway and downtown environments. The experimental results have demonstrated the effectiveness of the proposed solutions.</P>
LAPEL: Hop Limit Based Adaptive PIT Entry Lifetime for Vehicular Named Data Networks
Joint Optimization of Channel Selection and Frame Scheduling for Coexistence of LTE and WLAN
Full-Duplex Non-Orthogonal Multiple Access in Cooperative Relay Sharing for 5G Systems