Advances on Network Protocols and Algorithms for Vehicular Ad Hoc Networks

Vehicular Ad Hoc Network (VANET) is an emerging area of wireless ad hoc networks that facilitates ubiquitous connectivity between smart vehicles through Vehicle-to-Vehicle (V2V) or Vehicle-to-Roadside (V2R) and Roadside-to- Vehicle (R2V) communications. This emerging field of technology aims to improve safety of passengers and traffic flow, reduces pollution to the environment and enables in-vehicle entertainment applications. The safety-related applications could reduce accidents by providing drivers with traffic information such as collision avoidances, traffic flow alarms and road surface conditions. Moreover, the passengers could exploit an available infrastructure in order to connect to the internet for infomobility and entertainment applications.Lloret, J.; Ghafoor, KZ.; Rawat, DB.; Xia, F. (2013). Advances on Network Protocols and Algorithms for Vehicular Ad Hoc Networks. Mobile Networks and Applications. 18(6):749-754. doi:10.1007/s11036-013-0490-7S749754186Lloret J, Canovas A, Catalá A, Garcia M (2013) Group-based protocol and mobility model for VANETs to offer internet access. J Netw Comput Appl 36(3):1027–1038. doi: 10.1016/j.jnca.2012.02.009Khokhar RH, Zia T, Ghafoor KZ, Lloret J, Shiraz M (2013) Realistic and efficient radio propagation model for V2X communications. KSII Trans Internet Inform Syst 7(8):1933–1953. doi: 10.3837/tiis.2013.08.011Ghafoor KZ (2013) Routing protocols in vehicular ad hoc networks: survey and research challenges, Netw Protocol Algorithm 5(4). doi: 10.5296/npa.v5i4.4134Ghafoor KZ, Bakar KA, Lloret J, Ke C-H, Lee KC (2013) Intelligent beaconless geographical routing for urban vehicular environments. Wirel Netw 19(3):345–362. doi: 10.1007/s11276-012-0470-zGhafoor KZ, Bakar KA, Lee K, AL-Hashimi H (2010) A novel delay- and reliability- aware inter-vehicle routing protocol. Netw Protocol Algorithms 2(2):66–88. doi: 10.5296/npa.v2i2.427Dias JAFF, Rodrigues JJPC, Isento JN, Pereira PRBA, Lloret J (2011) Performance assessment of fragmentation mechanisms for vehicular delay-tolerant networks. EURASIP J Wirel Commun Netw 2011(195):1–14. doi: 10.1186/1687-1499-2011-195Zhang D, Yang Z, Raychoudhury V, Chen Z, Lloret J (2013) An energy-efficient routing protocol using movement trend in vehicular Ad-hoc networks. Comput J 58(8):938–946. doi: 10.1093/comjnl/bxt028Ghafoor KZ, Lloret J, Bakar KA, Sadiq AS, Mussa SAB (2013) Beaconing approaches in vehicular Ad Hoc networks: a survey. Wirel Pers Commun. doi: 10.1007/s11277-013-1222-9Sadiq AS, Bakar KA, Ghafoor KZ, Lloret J (2013) An intelligent vertical handover scheme for audio and video streaming in heterogeneous vehicular networks. Mobile Netw Appl. doi: 10.1007/s11036-013-0465-8Khamayseh YM (2013) Network size estimation in VANETs. Netw Protocol Algorithm 5(3):136–152. doi: 10.5296/npa.v5i6.3838Rawat DB, Popescu DC, Yan G, Olariu S (2011) Enhancing VANET performance by joint adaptation of transmission power and contention window size. IEEE Trans Parallel Distrib Syst 22(9):1528–1535Yan G, Rawat DB, Bista BB. Provisioning vehicular ad hoc networks with quality of services. Int J Space-Based Situated Comput 2(2):104–111Rawat DB, Bista BB, Yan G, Weigle MC (2011) Securing vehicular ad-hoc networks against malicious drivers: a probabilistic approach, International Conference on Complex, Intelligent, and Software Intensive Systems Pp. 146–151. June 30, 2011Sun W, Xia F, Ma J, Fu T, Sun Y. An optimal ODAM-based broadcast algorithm for vehicular Ad-Hoc Networks. KSII Trans Internet Inform Syst 6(12): 3257–3274Vinel AV, Dudin AN, Andreev SD, Xia F (2010) Performance modeling methodology of emergency dissemination algorithms for vehicular ad-hoc networks, 6th Communication Systems, Networks & Digital Signal Processing (CSNDSP 2010), Pp. 397–400AL-Hashimi HN, Bakar KA, Ghafoor KZ (2010) Inter-domain proxy mobile IPv6 based vehicular network. Netw Protocol Algorithm 2(4):1–15. doi: 10.5296/npa.v2i4.488Ghafoor KZ, Bakar KA, Mohammed MA, Lloret J (2013) Vehicular cloud computing: trends and challenges, in the book “mobile computing over cloud: technologies, services, and applications”. IGI GlobalYan G, Rawat DB, Bista BB (2012) Towards secure vehicular clouds, Sixth International Conference on Complex, Intelligent and Software Intensive Systems (CISIS 2012), Pp. 370–375Fernández H, Rubio L, Reig J, Rodrigo-Peñarrocha VM, Valero A (2013) Path loss modeling for vehicular system performance and communication protocols evaluation. Mobile Netw Appl. doi: 10.1007/s11036-013-0463-xAllouche Y, Segal M (2013) A cluster-based beaconing approach in VANETs: near optimal topology via proximity information. Mobile Netw Appl. doi: 10.1007/s11036-013-0468-5Merah AF, Samarah S, Boukerche A, Mammeri A (2013) A sequential patterns data mining approach towards vehicular route prediction in VANETs. Mobile Netw Appl. doi: 10.1007/s11036-013-0459-6Zhang D, Huang H, Zhou J, Xia F, Chen Z (2013) Detecting hot road mobility of vehicular Ad Hoc Networks. Mobile Netw Appl. doi: 10.1007/s11036-013-0467-6El Ajaltouni H, Boukerche A, Mammeri A (2013) A multichannel QoS MAC with dynamic transmit opportunity for. Mobile Netw Appl. doi: 10.1007/s11036-013-0475-6Reñé S, Esparza O, Alins J, Mata-Díaz J, Muñoz JL (2013) VSPLIT: a cross-layer architecture for V2I TCP services over. 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Digital platforms and European Union law – challenges from a perspective of multilevel constitutionalism

Present economy and society are under a “digital revolution”. Digital platforms connect service and product suppliers to recipients all around the world creating new businesses and changing business models in place. Old-fashioned informal gig-economy and sharing practices by using the new technology seem to change consumption and production patterns to more efficient and sustainable ones… or maybe not. This “new economy” also poses several challenges to law questioning the adequacy of concepts and regulations in force. Disputes with authorities and incumbent industries end up in violence or in courts, including the European Court of Justice. We intend to give an overview of those challenges, especially in light of European Union law and following a multilevel constitutionalist approach, which we believe is best suited to respond to the regulatory challenges of this “new economy”

Using mobile devices to support online collaborative learning

Mobile collaborative learning is considered the next step of on-line collaborative learning by incorporating mobility as a key and breakthrough requirement. Indeed, the current wide spread of mobile devices and wireless technologies brings an enormous potential to e-learning, in terms of ubiquity, pervasiveness, personalization, flexibility, and so on. For this reason, Mobile Computer-Supported Collaborative Learning has recently grown from a minor research field to significant research projects covering a fairly variety of formal and specially informal learning settings, from schools and universities to workplaces, museums, cities and rural areas. Much of this research has shown how mobile technology can offer new opportunities for groups of learners to collaborate inside and beyond the traditional instructor-oriented educational paradigm. However, mobile technologies, when specifically applied to collaborative learning activities, are still in its infancy and many challenges arise. In addition, current research in this domain points to highly specialized study cases, uses, and experiences in specific educational settings and thus the issues addressed in the literature are found dispersed and disconnected from each other. To this end, this paper attempts to bridge relevant aspects of mobile technologies in support for collaborative learning and provides a tighter view by means of a multidimensional approach.Peer ReviewedPostprint (published version

Peer-to-Peer Networks and Computation: Current Trends and Future Perspectives

This research papers examines the state-of-the-art in the area of P2P networks/computation. It attempts to identify the challenges that confront the community of P2P researchers and developers, which need to be addressed before the potential of P2P-based systems, can be effectively realized beyond content distribution and file-sharing applications to build real-world, intelligent and commercial software systems. Future perspectives and some thoughts on the evolution of P2P-based systems are also provided

IEEE Access Special Section Editorial: Data Mining for Internet of Things

It is an irrefutable fact that the Internet of Things (IoT) will eventually change our daily lives because its applications and relevant technologies have been or will be penetrating our daily lives. Also, the IoT is aimed to connect all the things (e.g., devices and systems) together via the Internet, thus making it easy to collect the data of users or environments and to find out useful information from the gathered data by using data mining technologies. As a consequence, how intelligent systems are developed for the IoT has become a critical research topic today. This means that artificial intelligence (AI) technologies (e.g., supervised learning, unsupervised learning, and semi-supervised learning) were used in the development of intelligent systems for analyzing the data captured from IoT devices or making decisions for IoT systems. It can be easily seen that AI can make an IoT system more intelligent and thus more accurate. For example, various sensors can be used for a smart home system to pinpoint the location and analyze the behavior of a human; however, with AI technologies, a more accurate prediction can be provided on the two pieces of information of a human. One of the most important uses for AI technologies is to make IoT systems more intelligent in order to provide a more convenient environment for users; thus, how to use existing AI technologies or develop new AI technologies to construct a better IoT system has attracted the attention of researchers from different disciplines in recent years. That is why, besides using existing supervised, unsupervised, semi-supervised learning algorithms, data mining algorithms, and machine learning algorithms, several recent studies have also attempted to develop new intelligent methods for the devices or systems for the IoT. All these approaches for making an IoT system more intelligent can also be found in the articles of this Special Section

Towards offering more useful data reliably to mobile cloudfrom wireless sensor network

The integration of ubiquitous wireless sensor network (WSN) and powerful mobile cloud computing (MCC) is a research topic that is attracting growing interest in both academia and industry. In this new paradigm, WSN provides data to the cloud, and mobile users request data from the cloud. To support applications involving WSN-MCC integration, which need to reliably offer data that are more useful to the mobile users from WSN to cloud, this paper first identifies the critical issues that affect the usefulness of sensory data and the reliability of WSN, then proposes a novel WSN-MCC integration scheme named TPSS, which consists of two main parts: 1) TPSDT (Time and Priority based Selective Data Transmission) for WSN gateway to selectively transmit sensory data that are more useful to the cloud, considering the time and priority features of the data requested by the mobile user; 2) PSS (Priority-based Sleep Scheduling) algorithm for WSN to save energy consumption so that it can gather and transmit data in a more reliable way. Analytical and experimental results demonstrate the effectiveness of TPSS in improving usefulness of sensory data and reliability of WSN for WSN-MCC integration

Transforming self-perceived self-employability and entrepreneurship among mothers through mobile digital sharing economy platforms: An exploratory case study

Purpose This research focuses on the extent sharing economy transforms employability for women impacted by domestic and reproductive work. The authors explore the experience of mothers, of how digital peer-to-peer (P2P) platforms can affect their self-perceived employability and skills deterioration by unlocking human capital through technology acceptance. Design/methodology/approach This study adopted a pragmatism-based approach incorporating using a single-case study research design with the Gioia methodology. It utilised a semi-structured telephone survey to collect data to explore the decisions around usage of a newly developed mobile P2P app, aiming to support employability among mothers. Analysis was conducted inductively using thematic analysis and partial least squares structural equation modelling (PLS-SEM). Findings The study finds that mothers experience high rates of continued labour market attachment on a casual or part-time basis, difficulty in juggling family and work, and high levels of concern both about future employment/entrepreneurial opportunities and expected stress in balancing dual roles of carer and earner. While mothers are interested in using new sharing economy technologies to reduce skills deterioration and improve signalling, the authors find that there were both technology and non-technology related barriers. These included trust and security, life-stage mismatch, time poverty and limitation of service offerings. Research limitations/implications This research was limited to mothers in one state in Australia and by the case study research design, the measurement model and the self-report nature of the data collection. Hence, the findings may lack generalisability in other contexts. It also limits the ability to make conclusions regarding causality. Originality/value This exploratory study contributes to research in the intersection between human resources (HR) and entrepreneurship by illustrating how sharing economy platforms can offer women a means to overcome the issues of signalling and skills deterioration in relation to aspects of human capital theory by developing new skills that may act as positive signals signal to potential employers or investors. Additionally, the social interactions between mothers, through technology adoption, can provide a basis for improving future self-employment or entrepreneurship and employability

Trust Transfer in the Sharing Economy - A Survey-Based Approach

The sharing economy is experiencing explosive growth around the globe in which trust plays a crucial role and builds the foundation of the services. With the rise of the sharing economy and the increasing numbers of cross-contextual users, this research aims at the lack of trust transference possibilities across the Peer-to-Peer applications and has the goal to find out whether and how trust can be transferred between the platforms, so that new users do not have to create their reputation from scratch every time they join a new platform. First, this research provides an in-depth literature review of trust transfer theories. Secondly, a conceptual research model for the role of the imported trust in the context of the sharing economy is outlined and analysed by proposing and evaluating a questionnaire using structural equation modeling. Throughout the study, a three-dimensional scale of trust, i.e. ability, benevolence and integrity, is validated in the context of the sharing economy. The experimental study shows that both the overall and subdimensional trust in the provider is directly affected by the overall trust in the platform, the perceived reputation as well as the perceived social presence. The study also provides empirical evidence for the existence of trust transferability. The findings show that in addition to the immanent ratings, imported ratings also significantly affect the perceived reputation of the provider positively. Finally, this paper discusses further details of the trust transfer processes and broadens implications for future research. The sharing economy is experiencing explosive growth around the globe in which trust plays a crucial role and builds the foundation of the services. With the rise of the sharing economy and the increasing numbers of cross-contextual users, this research aims at the lack of trust transference possibilities across the Peer-to-Peer applications and has the goal to find out whether and how trust can be transferred between the platforms, so that new users do not have to create their reputation from scratch every time they join a new platform. First, this research provides an in-depth literature review of trust transfer theories. Secondly, a conceptual research model for the role of the imported trust in the context of the sharing economy is outlined and analysed by proposing and evaluating a questionnaire using structural equation modeling. Throughout the study, a three-dimensional scale of trust, i.e. ability, benevolence and integrity, is validated in the context of the sharing economy. The experimental study shows that both the overall and subdimensional trust in the provider is directly affected by the overall trust in the platform, the perceived reputation as well as the perceived social presence. The study also provides empirical evidence for the existence of trust transferability. The findings show that in addition to the immanent ratings, imported ratings also significantly affect the perceived reputation of the provider positively. Finally, this paper discusses further details of the trust transfer processes and broadens implications for future research.  Keywords: Sharing Economy, Trust, Trust Transfer, Reputation, Peer-to-pee