Methodological Analysis of Inter VANET Data Handovers with Metaheuristic Algorithms
17 Nov 2015-International Journal of Computer Applications (Foundation of Computer Science (FCS), NY, USA)-Vol. 130, Iss: 12, pp 16-20
TL;DR: This work set up to propose Ant Colony Optimization (ACO) methodologies that take advantage of information available in vehicular networks such as the vehicles’ position and speed, in order to design an ant-based algorithm that performs well in the dynamics of such networks and adapts to the conditions appropriately.
Abstract: When Vehicles communicating among themselves, and communicating to devices located in the margins of roads and highways form Vehicular Ad hoc Networks (VANETs) that are a suitable type of Mobile Ad hoc Networks (MANETs). VANET can go upto a high speed of network nodes that can go up to 200 km/h, and which impacts directly on the capability the network has to deliver data, we can have a network formed for a small amount of time. Ant-based routing can be successfully incorporated to both wireless and wired networks as it has been checked it various tests. This work set ups to propose Ant Colony Optimization (ACO) methodologies that take advantage of information available in vehicular networks such as the vehicles’ position and speed, in order to design an ant-based algorithm that performs well in the dynamics of such networks and adapts to the conditions appropriately.
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01 Dec 2016
TL;DR: The proposed scheme is designed so keeping in mind the congestion control problem due to the increased vehicular traffic and the ineffective traffic control systems in the urban areas which has triggered the demand of developing an Intelligent Transport System (ITS).
Abstract: Vehicular ad-hoc networks (VANET) have gained importance in recent years due to urbanization and technical advancements. Vehicle to vehicle (V to V) and Vehicle to infrastructure (V to I) are important types of VANET which have been exploited to their optimum use for the comfort and safety of the people on roads and off roads. With the several other features of VANET which are already being implemented i.e., safety, comfort, traffic congestion control, the survey of the intelligent transport system with respect to the proposed scheme of prioritized vehicular network in which according to the priority assigned the vehicle is allowed to pass by and collision prevention and avoidance is the basis of the given work. The system is designed so keeping in mind the congestion control problem due to the increased vehicular traffic and the ineffective traffic control systems in the urban areas which has triggered the demand of developing an Intelligent Transport System (ITS). A survey of assorted Intelligent Traffic Systems (ITS) with respect to our proposed scheme is described in this paper. Thus the proposed system serves the purpose of being and Intelligent Transport System. The prioritized network mentioned would primarily aid the medical facility vehicles thus increasing the merits of the proposed system.
2 citations
Journal Article•
TL;DR: In this paper, the evolution of cellular technology in the field of 1G, 2G, 3G, 4G, 5G and upcoming 5G mobile network is discussed.
Abstract: Emerging cellular technology is what mobile phone networks are based on, and this technology gives the mobile phone name as the „cell phone„. As it capable of changing their status with time, they are said to be the new and enhanced version of older technology but it is still controversial in the market technologies. Cellular technology has been increasing its growth rapidly from last 20 years. It involves the evolution of cellular technology in the field of 1G, 2G, 3G, 4G and upcoming 5G mobile network. GSM platform was introduced by global Platforms in the year 1980‟s and asked the telecom companies to reduce their cost and advance their affordability. With each upcoming technology their limitations become key factor to emerge as the new technology. With the changing time latest technologies were designed to increase the efficiency of cellular networks and speed capabilities, which lead to the formation of new concept from time to time.
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TL;DR: A VHO decision algorithm is developed that enables a wireless access network to not only balance the overall load among all attachment points but also maximize the collective battery lifetime of mobile nodes (MNs) and maintain load balancing.
Abstract: There are currently a large variety of wireless access networks, including the emerging vehicular ad hoc networks (VANETs). A large variety of applications utilizing these networks will demand features such as real-time, high-availability, and even instantaneous high-bandwidth in some cases. Therefore, it is imperative for network service providers to make the best possible use of the combined resources of available heterogeneous networks (wireless area networks (WLANs), Universal Mobile Telecommunications Systems, VANETs, Worldwide Interoperability for Microwave Access (WiMAX), etc.) for connection support. When connections need to migrate between heterogeneous networks for performance and high-availability reasons, seamless vertical handoff (VHO) is a necessary first step. In the near future, vehicular and other mobile applications will be expected to have seamless VHO between heterogeneous access networks. With regard to VHO performance, there is a critical need to develop algorithms for connection management and optimal resource allocation for seamless mobility. In this paper, we develop a VHO decision algorithm that enables a wireless access network to not only balance the overall load among all attachment points (e.g., base stations and access points) but also maximize the collective battery lifetime of mobile nodes (MNs). In addition, when ad hoc mode is applied to 3/4G wireless data networks, VANETs, and IEEE 802.11 WLANs for a more seamless integration of heterogeneous wireless networks, we devise a route-selection algorithm for forwarding data packets to the most appropriate attachment point to maximize collective battery lifetime and maintain load balancing. Results based on a detailed performance evaluation study are also presented here to demonstrate the efficacy of the proposed algorithms.
311 citations
"Methodological Analysis of Inter VA..." refers background in this paper
...Therefore, it is imperative for network service providers to make the best possible use of the combined resources of available heterogeneous networks this give rise to data handover [3] through multiple nodes....
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01 Jul 2012
TL;DR: Two different optimization methods for placement of a limited number of RSUs in an urban region are presented: an analytical Binary Integer Programming (BIP) method and a novel Balloon Expansion Heuristic (BEH) method.
Abstract: The most important component of a vehicular ad hoc network (VANET), besides VANET-enabled vehicles, is roadside units (RSUs). The effectiveness of a VANET largely depends on the density and location of these RSUs. During the initial stages of VANET, it will not be possible to deploy a large number of RSUs either due to the low market penetration of VANET-enabled vehicles or due to the deployment cost of RSUs. There is, therefore, a need to optimally place a limited number of RSUs in a given region in order to achieve maximum performance. In this paper, we present two different optimization methods for placement of a limited number of RSUs in an urban region: an analytical Binary Integer Programming (BIP) method and a novel Balloon Expansion Heuristic (BEH) method. BIP method utilizes branch and bound approach to find an optimal analytical solution whereas BEH method uses balloon expansion analogy to find an optimal or near optimal solution. Our evaluations show that both methods perform optimally or near optimally compared with the exhaustive method. Further, BEH method is more versatile and performs better than BIP method in terms of computational cost and scalability.
143 citations
27 Jul 2010
TL;DR: Two of the most promising infrastructure-based wireless technologies: mobile WiMAX (based on IEEE 802.16e standard) and the 5.9 GHz technology based on the upcoming IEEE802.11p standard are compared and the potential and limitations of both technologies are investigated.
Abstract: Intelligent Transportation Systems (ITS) have been under development since the 80’s as part of a global strategy for solving many of our modern life transportation problems. These systems enable people to reach their destinations in a safe, efficient, and comfortable way. In order to reach that goal, several radio access technologies (RAT) such as UMTS, WiFi, WiMAX and 5.9 GHz have been proposed for next generation ITS. Yet, the coexistence of these technologies in the vehicles raises the challenge of choosing the most appropriate RAT. In order to address this problem and define optimal rules for the communication technology selection, comparisons on the network performance have to be done. In this paper, we compare two of the most promising infrastructure-based wireless technologies: mobile WiMAX (based on IEEE 802.16e standard) and the 5.9 GHz technology based on the upcoming IEEE 802.11p standard. We investigate, through simulation, the potential and limitations of both technologies as a communication media for vehicle-to-infrastructure (V2I) communications. The performance of the two systems is evaluated for different vehicle speeds, traffic data rates, and network deployments.
69 citations
17 May 2009
TL;DR: Stochastic geometry is used to propose two models for Aloha-based linear VANETs using signal over interference plus noise ratio (SINR) capture condition to qualify a successful transmission and expresses the transmission throughput as a function of SINR using Shannon's law.
Abstract: In this paper we use stochastic geometry to propose two models for Aloha-based linear VANETs. The first one uses Signal over Interference plus Noise Ratio (SINR) capture condition to qualify a successful transmission, while the second one expresses the transmission throughput as a function of SINR using Shannon's law. Assuming Poisson distribution of vehicles, power-law mean path-loss and Rayleigh fading, in these models we derive explicit formulas for the mean throughput and the probability of a successful reception at a given distance. Furthermore, we optimize two quantities directly linked to the achievable network throughput: the mean density of packet progress and the mean density of information transport. This is realized by tuning the communication range and the probability of channel access. We also present numerical examples and study the impact of external noise on an optimal tuning of network parameters.
63 citations
"Methodological Analysis of Inter VA..." refers methods in this paper
...To maximize the throughput in multi level data handover vehicular model require strong system model and assumptions which may require to analyze the performance of channel [6], proceeding with these analysis throughput & reliability analysis can also be done on the base of system model....
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26 Apr 2009
TL;DR: This paper proposes an analysis of application requirements and study how to deal with them using communication technologies for the physical and network level, and contains key factors which must be taken into account at the designing stage of the vehicular network.
Abstract: Vehicular communications attract the attention of many people in the networking research world. These networks present some special features, such as high mobility or specific topologies, which affect the performance of applications. In order to select the appropriate technologies, more effort should be directed to identify the final necessities of the network. Few works identify possible applications of vehicular networks, but none of them link application requirements which networking technologies available in the vehicular field. In this paper, we fill this gap, and propose an analysis of application requirements and study how to deal with them using communication technologies for the physical and network level. This study contains key factors which must be taken into account, especially, at the designing stage of the vehicular network.
27 citations