{"title":"Proceedings of the 5th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications","authors":"R. E. Grande, M. S. Notare, A. Darehshoorzadeh","doi":"10.1145/2815347","DOIUrl":"https://doi.org/10.1145/2815347","url":null,"abstract":"We are pleased to welcome you to the Fifth ACM International Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications (DIVANet'15), held in conjunction with the 18th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM'15), on November 2 to 6, 2015 in Cancun, Mexico. \u0000 \u0000The Fifth ACM DIVANet'15 International Symposium aims to provide researchers and practitioners with a venue to disseminate and share state-of-the-art research on vehicular networks, intelligent transportation systems and wireless mobile ad hoc networking. Every paper submitted has been peer-reviewed by at least two referees from the Technical Program Committee. Based on the reviewers' recommendations, eighteen papers were selected for publication in this ACM proceedings and for presentation at the symposium. \u0000 \u0000Finally, we would like to thank the authors for their paper contributions and all of the reviewers for their timely feedbacks. We hope you will find this program interesting and that the symposium provides you with a forum of discussion and an opportunity to share ideas with other researchers and specialists from around the world.","PeriodicalId":329392,"journal":{"name":"Proceedings of the 5th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133915734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Improving the Performance of VANETs using Many-to-Many Communication","authors":"Moumita Patra, C. Murthy","doi":"10.1145/2815347.2815353","DOIUrl":"https://doi.org/10.1145/2815347.2815353","url":null,"abstract":"Vehicular Ad-hoc Networks (VANETs) have emerged as an area with large number of applications and have gained the attention of the research community. The performance of a VANET largely depends on its properties such as vehicle speed, density, mobility model, and routing scheme used. Use of CSMA as medium access control technique brings many challenges in the overall performance of VANETs. In case of city scenarios where high vehicle density is expected, due to CSMA, a large amount of contention is faced during communication. This eventually has an adverse effect on the delay performance of the network. Many-to-many communication enables simultaneous multi-packet transmission and reception of information between vehicles. In this paper, we for the first time investigate the use of many-to-many communication in VANETs. It is observed through analysis and simulations that use of many-to-many communication for all types of VANET applications gives better performance than CSMA-based VANETs in terms of average end-to-end delay and average packet delivery ratio. We also provide a detailed analysis of the average packet delivery ratio and the average end-to-end delay by modelling the buffers at vehicles and road side units as M/M/1 and M/D/1 queues, respectively. Our analytical results are in good agreement with simulation results.","PeriodicalId":329392,"journal":{"name":"Proceedings of the 5th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122888390","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Connectivity Stability in Autonomous Multi-level UAV Swarms for Wide Area Monitoring","authors":"Grégoire Danoy, Matthias R. Brust, P. Bouvry","doi":"10.1145/2815347.2815351","DOIUrl":"https://doi.org/10.1145/2815347.2815351","url":null,"abstract":"Many different types of unmanned aerial vehicles (UAVs) have been developed to address a variety of applications ranging from searching and mapping to surveillance. However, for complex wide-area surveillance scenarios, where fleets of autonomous UAVs must be deployed to work collectively on a common goal, multiple types of UAVs should be incorporated forming a heterogeneous UAV system. Indeed, the interconnection of two levels of UAVs---one with high altitude fixed-wing UAVs and one with low altitude rotary-wing UAVs---can provide applicability for scenarios which cannot be addressed by either UAV type. This work considers a bi-level flying ad hoc networks (FANETs), in which each UAV is equipped with ad hoc communication capabilities, in which the higher level fixed-wing swarm serves mainly as a communication bridge for the lower level UAV fleets, which conduct precise information sensing. The interconnection of multiple UAV types poses a significant challenge, since each UAV level moves according to its own mobility pattern, which is constrained by the UAV physical properties. Another important challenge is to form network clusters at the lower level, whereby the intra-level links must provide a certain degree of stability to allow a reliable communication within the UAV system. This article proposes a novel mobility model for the low-level UAVs that combines a pheromone-based model with a multi-hop clustering algorithm. The pheromones permit to focus on the least explored areas with the goal to optimize the coverage while the multi-hop clustering algorithm aims at keeping a stable and connected network. The proposed model works online and is fully distributed. The connection stability is evaluated against different measurements such as stability coefficient and volatility. The performance of the proposed model is compared to other state-of-the-art contributions using simulations. Experimental results demonstrate the ability of the proposed mobility model to significantly improve the network stability while having a limited impact on the wide-area coverage.","PeriodicalId":329392,"journal":{"name":"Proceedings of the 5th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130679075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. T. Gutierrez-Mena, Carlos Adrian Gutierrez Diaz de Leon, J. M. Luna-Rivera, D. U. Campos‐Delgado, J. V. Castillo
{"title":"Geometry-Based Statistical Modeling of Non-Stationary MIMO Vehicle-to-Vehicle Channels","authors":"J. T. Gutierrez-Mena, Carlos Adrian Gutierrez Diaz de Leon, J. M. Luna-Rivera, D. U. Campos‐Delgado, J. V. Castillo","doi":"10.1145/2815347.2815356","DOIUrl":"https://doi.org/10.1145/2815347.2815356","url":null,"abstract":"A novel geometry-based statistical model (GBSM) for non-stationary multiple-input multiple-output (MIMO) vehicle-to-vehicle (V2V) fading channels is presented in this paper. In contrast to the existing geometrical models for non-stationary channels, which are based on a spherical wave propagation (SWP) approach, our proposal builds on the principles of plane wave propagation (PWP). This modeling approach simplifies the mathematical analysis of the relevant statistics of non-stationary channels, such as the space-time-frequency cross-correlation function (STF-CCF). To demonstrate the mathematical tractability of the model, we derive a novel closed-form expression for the STF-CCF. For that purpose, we consider a geometrical one-ring scattering model, and assume that the angle of arrival (AOA) of the received multipath signal follows the von Mises distribution. The obtained results provide valuable theoretical insights into the cross-correlation properties of non-stationary MIMO V2V fading channels.","PeriodicalId":329392,"journal":{"name":"Proceedings of the 5th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134219654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Arun Sai Krishnan, Xiping Hu, Jun-qi Deng, Li Zhou, E. Ngai, Xitong Li, Victor C. M. Leung, Yu-Kwong Kwok
{"title":"Towards In Time Music Mood-Mapping for Drivers: A Novel Approach","authors":"Arun Sai Krishnan, Xiping Hu, Jun-qi Deng, Li Zhou, E. Ngai, Xitong Li, Victor C. M. Leung, Yu-Kwong Kwok","doi":"10.1145/2815347.2815352","DOIUrl":"https://doi.org/10.1145/2815347.2815352","url":null,"abstract":"Road safety is a huge concern due to the large number of fatalities and injuries caused by road accidents. Research has shown that fatigue can adversely affect driving performance and increase risk of road accidents. It has been shown that driving performance is enhanced by stress-relieving music which thereby promotes safer driving. Context-aware music delivery systems promote safer driving through intelligent music recommendations based on contextual knowledge. Two key aspects of situation-aware music delivery are effectiveness and efficiency of music recommendation. Efficiency is a critical aspect in real-time context based music recommendation as the music delivery system should quickly sense any change in the situation and deliver suitable music before the sensed context-data becomes obsolete. We focus on the efficiency of situation-aware music delivery systems in this paper. Music mood-mapping is a process which helps in understanding the mood of a song and is hence used in situation-aware music recommendation systems. This process requires a large processing time due to the complex calculations and large sizes of music files involved. Hence, optimizing this process is the key to improving the efficiency of context-aware music delivery systems. Here, we propose a novel cloud and crowd-sensing based approach to considerably optimize the efficiency of situation-aware music delivery systems.","PeriodicalId":329392,"journal":{"name":"Proceedings of the 5th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127185851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}