A fast location-based handoff scheme for vehicular networks
09 Jun 2013-pp 1464-1468
TL;DR: A new fast location-based handoff scheme particularly designed for vehicular networks that can accurately predict the next AP that the vehicle may visit and reduce the total number of handoffs by selecting APs on the vehicle's advancing path.
Abstract: IEEE 802.11 is an economical and efficient standard that has been applied to vehicular networks. The long handoff latency of the traditional handoff scheme for IEEE 802.11, however, becomes an important issue for seamless connections in vehicular environments, as more handoffs may be triggered due to higher mobility of vehicles. This paper presents a new fast location-based handoff scheme particularly designed for vehicular networks. With the position and direction of a vehicle and locations of its surrounding access points (APs), our algorithm can accurately predict the next AP that the vehicle may visit. Time spent on scanning APs in handoff procedures is therefore significantly saved. The AP selection scheme can also reduce the total number of handoffs by selecting APs on the vehicle's advancing path. Finally, simulation results demonstrate that the proposed scheme attains low prediction error rates, low layer-2 handoff latency and the reduced number of unnecessary handoffs.
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TL;DR: A new and fast location-based handoff scheme particularly designed for vehicular environments that attains not only a lower prediction error rate but also lower link layer handoff latency and that it has a smaller influence on jitter and throughput.
Abstract: IEEE 802.11 is an economical and efficient standard that has been applied to vehicular networks. However, the long handoff latency of the standard handoff scheme for IEEE 802.11 has become an important issue for seamless roaming in vehicular environments, because more handoffs may be triggered due to the higher mobility of vehicles. This paper presents a new and fast location-based handoff scheme particularly designed for vehicular environments. With the position and movement direction of a vehicle and the location information of the surrounding access points (APs), our protocol is able to accurately predict several APs that the vehicle may possibly visit in the future and to assign these APs different priority levels. APs on higher priority levels will be scanned first. A blacklist scheme is also used to exclude those APs that showed no response to the scanning during previous handoffs. Thus, time spent on scanning APs is supposed to be significantly reduced. The simulation results show that the proposed scheme attains not only a lower prediction error rate but also lower link layer handoff latency and that it has a smaller influence on jitter and throughput. Moreover, these results show that the proposed scheme has a smaller total number of handoffs than other handoff schemes.
29Â citations
Cites background from "A fast location-based handoff schem..."
...sion of this paper was presented in [4]....
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22 May 2016
TL;DR: An intelligent network recommendation system supported by traffic big data analysis is developed, which enables individual vehicle to access network automatically based on the access recommender and extensive simulation results show that this proposal can effectively select the optimum network for vehicles, and network resource is fully utilized at the same time.
Abstract: With the explosive growth of Internet of Vehicles (IoV), it is undoubted that vehicular demands for real-time Internet access would get a surge in the near future. Therefore, it is foreseeable that the cars within the IoV will generate enormous data. On the one hand, the huge volume of data mean we could get much information (e.g., vehicle's condition and real-time traffic distribution) through the big data analysis. On the other hand, the huge volume of data will overload the cellular network since the cellular infrastructure still represents the dominant access methods for ubiquitous connections. The vehicular ad hoc network (VANET) offloading is a promising solution to alleviate the conflict between the limited capacity of cellular network and big data collection. In a vehicular heterogeneous network formed by cellular network and VANET, an efficient network selection is crucial to ensure vehicles' quality of service. To address this issue, we develop an intelligent network recommendation system supported by traffic big data analysis. Firstly, the traffic model for network recommendation is built through big data analysis. Secondly, vehicles are recommended to access an appropriate network by employing the analytic framework which takes traffic status, user preferences, service applications and network conditions into account. Furthermore an Android application is developed, which enables individual vehicle to access network automatically based on the access recommender. Finally, extensive simulation results show that our proposal can effectively select the optimum network for vehicles, and network resource is fully utilized at the same time.
18Â citations
Additional excerpts
...[5] proposes a location-based handoff scheme....
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TL;DR: This article discusses the different mobile IP handover solutions found within related literature and their potential for resolving issues pertinent to vehicular networks, and provides an overview of the mobileIP handover and its problematic components.
Abstract: The popularity and development of wireless devices has led to a demand for widespread high-speed Internet access, including access for vehicles and other modes of high-speed transportation. The current widely deployed method for providing Internet Protocol (IP) services to mobile devices is the mobile IP. This includes a handover process for a mobile device to maintain its IP session while it switches between points of access. However, the mobile IP handover causes performance degradation due to its disruptive latency and high packet drop rate. This is largely problematic for vehicles, as they will be forced to transition between access points more frequently due to their higher speeds and frequent topological changes in vehicular networks. In this article, we discuss the different mobile IP handover solutions found within related literature and their potential for resolving issues pertinent to vehicular networks. First, we provide an overview of the mobile IP handover and its problematic components. This is followed by categorization and comparison between different mobile IP handover solutions, with an analysis of their benefits and drawbacks.
11Â citations
30 Apr 2015
TL;DR: The delay made by the handoff process is analyzed, and a pre-scanning fast handoff scheme is proposed based on selective scanning and caching that can reduce the average handoff delay to 23.45 ms and avoid some unnecessary handoffs.
Abstract: IEEE 802.11 wireless local area networks (WLAN) have been widely deployed, and many applications are implemented on WLAN. As one of the interesting wireless services, wireless voice over internet protocol (VoIP) can provide low-cost real-time voice service to mobile users. But the IEEE 802.11 wireless network cannot satisfy the QoS of VoIP. The delay during handoff process can last up to 1 second. Applications with delay restraint like VoIP will drop the call when the delay is more than 50 ms. Therefore this paper analyzed the delay made by the handoff process, and proposed a pre-scanning fast handoff scheme. This fast handoff scheme is based on selective scanning and caching. It can predict the next AP for STAs and use pre-scanning before the handoff is triggered. Simulations on OPNET show this proposed scheme can reduce the average handoff delay to 23.45 ms and avoid some unnecessary handoffs. The pre-scanning fast handoff scheme is feasible and economical according to its performance in the handoff process.
7Â citations
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...In [10], an efficient GPS-based handoff scheme is designed for vehicular networks....
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03 Apr 2016
TL;DR: An efficient load-aware vertical handoff (VHO) algorithm for HetNets is proposed with the aid of the system load information from the neighboring cells, and the computational complexity during the VHO procedure can be significantly reduced.
Abstract: Nowadays, the emerging hyper-dense heterogeneous network (HetNet) is an effective solution to building an easy-access wireless communication environment. In the hyper-dense HetNet, however, the inescapable handoff procedure is the key to its success. An effective handoff algorithm can not only achieve the goal of load-balancing but also enhance the overall system capacity. In this paper, we proposed an efficient load-aware vertical handoff (VHO) algorithm for HetNets. With the aid of the system load information from the neighboring cells, the computational complexity during the VHO procedure can be significantly reduced. Moreover, by effectively off-loading the cells with relatively light traffic loads (i.e. non-worst conditioned cells), the dropping rate can be significantly reduced. Most importantly, the user and the overall system capacity can be greatly enhanced as well.
3Â citations
References
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"A fast location-based handoff schem..." refers background in this paper
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Proceedings Article•
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1,560Â citations
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TL;DR: An overview of the field of vehicular ad hoc networks is given, providing motivations, challenges, and a snapshot of proposed solutions.
Abstract: There has been significant interest and progress in the field of vehicular ad hoc networks over the last several years. VANETs comprise vehicle-to-vehicle and vehicle-to-infrastructure communications based on wireless local area network technologies. The distinctive set of candidate applications (e.g., collision warning and local traffic information for drivers), resources (licensed spectrum, rechargeable power source), and the environment (e.g., vehicular traffic flow patterns, privacy concerns) make the VANET a unique area of wireless communication. This article gives an overview of the field, providing motivations, challenges, and a snapshot of proposed solutions.
1,545Â citations
"A fast location-based handoff schem..." refers background in this paper
...1: the communications among vehicles are called vehicle to vehicle (V2V) communications, and the communications between vehicles and roadside units (RSUs) are called vehicle to infrastructure (V2I) communications [17]....
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