207,420 research outputs found

    A NEMO-HWSN solution to support 6LoWPAN network mobility in hospital wireless sensor network

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    IPv6 Low-power Personal Area Networks (6LoWPANs) have recently found renewed interest because of the emergence of Internet of Things (IoT). Mobility support in 6LoWPANs for large-scale IP-based sensor technology in future IoT is still in its infancy. The hospital wireless network is one important 6LoWPAN application of the IoT, it keeps continuous monitoring of vital signs of moveing patients. Proper mobility management is needed to maintain connectivity between patient nodes and the hospital network. In this paper, first we survey IPv6 mobility protocols and propose a solution for a hospital architecture based on 6LoWPAN technology. Moreover, we discuss an important metric like signaling overload to optimize the power consumption and how it can be optimized through the mobility management. This metric is more effective on the mobile router as a coordinator in network mobility since a mobile router normally constitutes a bottleneck in such a system. Finally, we present our initial results on a reduction of the mobility signaling cost and the tunneling traffic on the mobile PAN

    Service Provisioning in Edge-Cloud Continuum Emerging Applications for Mobile Devices

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    Disruptive applications for mobile devices can be enhanced by Edge computing facilities. In this context, Edge Computing (EC) is a proposed architecture to meet the mobility requirements imposed by these applications in a wide range of domains, such as the Internet of Things, Immersive Media, and Connected and Autonomous Vehicles. EC architecture aims to introduce computing capabilities in the path between the user and the Cloud to execute tasks closer to where they are consumed, thus mitigating issues related to latency, context awareness, and mobility support. In this survey, we describe which are the leading technologies to support the deployment of EC infrastructure. Thereafter, we discuss the applications that can take advantage of EC and how they were proposed in the literature. Finally, after examining enabling technologies and related applications, we identify some open challenges to fully achieve the potential of EC, and also research opportunities on upcoming paradigms for service provisioning. This survey is a guide to comprehend the recent advances on the provisioning of mobile applications, as well as foresee the expected next stages of evolution for these applications

    A Survey on Proxy Mobile IPv6 Handover

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    [EN] As wireless technologies have been improving in recent years, a mobility management mechanism is required to provide seamless and ubiquitous mobility for end users who are roaming among points of attachment in wireless networks. Thus, Mobile IPv6 was developed by the Internet Engineering Task Force (IETF) to support the mobility service. However, Mobile IPv6 is unable to fulfill the requirements of real-time applications, such as video streaming service and voice over IP service, due to its high handover (HO) latency. To address this problem, Proxy Mobile IPv6 (PMIPv6) has been introduced by the IETF. In PMIPv6, which is a network-based approach, the serving network controls mobility management on behalf of the mobile node (MN). Thus, the MN is not required to participate in any mobility-related signaling. However, the PMIPv6 still suffers from lengthy HO latency and packet loss during a HO. This paper explores an elaborated survey on the HO procedure of PMIPv6 protocols and proposed approaches accompanied by a discussion about their points of weakness.This work was supported in part by the University of Malaya under UMRG Grant (RG080/11ICT).Modares, H.; Moravejosharieh, A.; Lloret, J.; Salleh, R. (2016). A Survey on Proxy Mobile IPv6 Handover. IEEE Systems Journal. 10(1):208-217. https://doi.org/10.1109/JSYST.2013.2297705S20821710

    Entropy based routing for mobile, low power and lossy wireless sensors networks

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    [EN] Routing protocol for low-power and lossy networks is a routing solution specifically developed for wireless sensor networks, which does not quickly rebuild topology of mobile networks. In this article, we propose a mechanism based on mobility entropy and integrate it into the corona RPL (CoRPL) mechanism, which is an extension of the IPv6 routing protocol for low-power and lossy networks (RPL). We extensively evaluated our proposal with a simulator for Internet of Things and wireless sensor networks. The mobility entropy-based mechanism, called CoRPL+E, considers the displacement of nodes as a deciding factor to define the links through which nodes communicate. Simulation results show that the proposed mechanism, when compared to CoRPL mechanism, is effective in reducing packet loss and latency in simulated mobile routing protocol for low-power and lossy networks. From the simulation results, one can see that the CoRPL+E proposal mechanism provides a packet loss reduction rate of up to 50% and delays reduction by up to 25% when compared to CoRPL mechanism.The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research was funded by SIDIA Institute of Science and Technology, by Coordenacao de Aperfeicxoamento de Pessoal de Nivel Superior (CAPES), by Fundacao de Amparo a Pesquisa do Estado do Amazonas (FAPEAM)-support programs (Programa Primeiros Projetos (PPP) and Programa de Tecnologia da Informacao na Amazonia (PROTI)-Amazonia-Mobilidade), by Camara Tecnica de Reconstrucao e Recuperacao de Infraestrutura (CT-INFRA) of Ministerio da Ciencia, Tecnologia, Inovacoes e Comunicacoes(MCTI)/Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq), and by Secretaria de Estado de Ciencia, Tecnologia e Inovacao Amazonas (SECTI-AM) and Government of Amazon State, Brazil.Carvalho, C.; Mota, E.; Ferraz, E.; Seixas, P.; Souza, P.; Tavares, V.; Lucena Filho, W.... (2019). Entropy based routing for mobile, low power and lossy wireless sensors networks. International Journal of Distributed Sensor Networks (Online). 15(7):1-19. https://doi.org/10.1177/1550147719866134S119157Blanco-Novoa, O., Fernández-Caramés, T., Fraga-Lamas, P., & Castedo, L. (2018). A Cost-Effective IoT System for Monitoring Indoor Radon Gas Concentration. Sensors, 18(7), 2198. doi:10.3390/s18072198Ding, X., Tian, Y., & Yu, Y. (2016). A Real-Time Big Data Gathering Algorithm Based on Indoor Wireless Sensor Networks for Risk Analysis of Industrial Operations. IEEE Transactions on Industrial Informatics, 12(3), 1232-1242. doi:10.1109/tii.2015.2436337Rashid, B., & Rehmani, M. H. (2016). Applications of wireless sensor networks for urban areas: A survey. Journal of Network and Computer Applications, 60, 192-219. doi:10.1016/j.jnca.2015.09.008Laurindo, S., Moraes, R., Nassiffe, R., Montez, C., & Vasques, F. (2018). An Optimized Relay Selection Technique to Improve the Communication Reliability in Wireless Sensor Networks. Sensors, 18(10), 3263. doi:10.3390/s18103263Airehrour, D., Gutierrez, J., & Ray, S. K. (2016). Secure routing for internet of things: A survey. Journal of Network and Computer Applications, 66, 198-213. doi:10.1016/j.jnca.2016.03.006Mesodiakaki, A., Zola, E., Santos, R., & Kassler, A. (2018). Optimal user association, backhaul routing and switching off in 5G heterogeneous networks with mesh millimeter wave backhaul links. Ad Hoc Networks, 78, 99-114. doi:10.1016/j.adhoc.2018.05.008Marszałek, Z., Woźniak, M., & Połap, D. (2018). Fully Flexible Parallel Merge Sort for Multicore Architectures. Complexity, 2018, 1-19. doi:10.1155/2018/8679579Fotouhi, H., Moreira, D., & Alves, M. (2015). mRPL: Boosting mobility in the Internet of Things. Ad Hoc Networks, 26, 17-35. doi:10.1016/j.adhoc.2014.10.009Barcelo, M., Correa, A., Vicario, J. L., Morell, A., & Vilajosana, X. (2016). Addressing Mobility in RPL With Position Assisted Metrics. IEEE Sensors Journal, 16(7), 2151-2161. doi:10.1109/jsen.2015.2500916Bouaziz, M., Rachedi, A., & Belghith, A. (2019). EKF-MRPL: Advanced mobility support routing protocol for internet of mobile things: Movement prediction approach. Future Generation Computer Systems, 93, 822-832. doi:10.1016/j.future.2017.12.015Fotouhi, H., Moreira, D., Alves, M., & Yomsi, P. M. (2017). mRPL+: A mobility management framework in RPL/6LoWPAN. Computer Communications, 104, 34-54. doi:10.1016/j.comcom.2017.01.020Iova, O., Picco, P., Istomin, T., & Kiraly, C. (2016). RPL: The Routing Standard for the Internet of Things... Or Is It? IEEE Communications Magazine, 54(12), 16-22. doi:10.1109/mcom.2016.1600397cmFotouhi, H., Alves, M., Zamalloa, M. Z., & Koubaa, A. (2014). Reliable and Fast Hand-Offs in Low-Power Wireless Networks. IEEE Transactions on Mobile Computing, 13(11), 2620-2633. doi:10.1109/tmc.2014.2307867Kamgueu, P. O., Nataf, E., & Ndie, T. D. (2018). Survey on RPL enhancements: A focus on topology, security and mobility. Computer Communications, 120, 10-21. doi:10.1016/j.comcom.2018.02.011Park, J., Kim, K.-H., & Kim, K. (2017). An Algorithm for Timely Transmission of Solicitation Messages in RPL for Energy-Efficient Node Mobility. Sensors, 17(4), 899. doi:10.3390/s17040899Stanoev, A., Filiposka, S., In, V., & Kocarev, L. (2016). Cooperative method for wireless sensor network localization. Ad Hoc Networks, 40, 61-72. doi:10.1016/j.adhoc.2016.01.003Wallgren, L., Raza, S., & Voigt, T. (2013). Routing Attacks and Countermeasures in the RPL-Based Internet of Things. International Journal of Distributed Sensor Networks, 9(8), 794326. doi:10.1155/2013/794326Raza, S., Wallgren, L., & Voigt, T. (2013). SVELTE: Real-time intrusion detection in the Internet of Things. Ad Hoc Networks, 11(8), 2661-2674. doi:10.1016/j.adhoc.2013.04.014Zhang, K., Liang, X., Lu, R., & Shen, X. (2014). 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    A Survey on Handover Management in Mobility Architectures

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    This work presents a comprehensive and structured taxonomy of available techniques for managing the handover process in mobility architectures. Representative works from the existing literature have been divided into appropriate categories, based on their ability to support horizontal handovers, vertical handovers and multihoming. We describe approaches designed to work on the current Internet (i.e. IPv4-based networks), as well as those that have been devised for the "future" Internet (e.g. IPv6-based networks and extensions). Quantitative measures and qualitative indicators are also presented and used to evaluate and compare the examined approaches. This critical review provides some valuable guidelines and suggestions for designing and developing mobility architectures, including some practical expedients (e.g. those required in the current Internet environment), aimed to cope with the presence of NAT/firewalls and to provide support to legacy systems and several communication protocols working at the application layer

    Mobile and cloud based systems proposal for a centralized management of educational institutions

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    The computational technological efforts towards a centralized data storage and processing have contributed to provide more sustainable solutions under the environmental, administrative and business perspectives. However, it is not yet worldwide adopted by public institutions, specially, in the Brazilian educational systems, where these technological models are still under constant discussions and development. In this sense, this work presents a brief survey about cloud and mobile integrated technologies and their possible contributions to support a centralized data management in educational systems, relating improvements in governance, data security, mobility, economic viability and environmental impact. Therefore, this work also present a list of already free and private technologies and their advantages and disadvantages in the Brazilian scenario. In this sense, the herein technological aspects considers the integration between cloud and mobile technologies as essential alternative to suppress the online requirements, which a limitation for a large number of public institutions that have problems to be effectively connected on the Internet
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