4 research outputs found

    Examination of Wireless Body Area Network Using Mobile Sinks

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    In the last few years, postural mobility has been seen as a significant barrier to the successful deployment of Wireless Body Area Networks (WBAN), and several mobility models have been put out to overcome this problem. Due to the sink node's fixed location in such topologies, WBAN performance was declining. The domains of other wireless networks including MANET, VANET, and FANET have successfully used Mobile Sink as a solution. The network lifespan and other QoS metrics like average end-to-end latency, PDR, throughput and energy consumption are significantly influenced by sink mobility. The random movement of the sink node is taken into account in this study effort to cope with the heterogeneity of network nodes and their movement pattern. Static and mobile sinks (Controlled and Random movements) are used to test both mobility models using Network Simulator NS2.35, and it was shown that mobile sinks improved WBAN performance for all QoS criteria

    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). Sybil Attacks and Their Defenses in the Internet of Things. IEEE Internet of Things Journal, 1(5), 372-383. doi:10.1109/jiot.2014.2344013Mayzaud, A., Sehgal, A., Badonnel, R., Chrisment, I., & Schönwälder, J. (2015). Mitigation of topological inconsistency attacks in RPL-based low-power lossy networks. International Journal of Network Management, 25(5), 320-339. doi:10.1002/nem.1898Navidi, W., & Camp, T. (2004). Stationary distributions for the random waypoint mobility model. IEEE Transactions on Mobile Computing, 3(1), 99-108. doi:10.1109/tmc.2004.126182

    mRPL+: A mobility management framework in RPL/6LoWPAN

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    The next generation Internet (also known as Internet-of-Things – IoT), will ubiquitously integrate trillions of computing devices of all kinds, shapes and sizes. For this ubiquity to materialize, a key aspect will certainly be interoperability, the capability of different technologies (e.g. different communication protocols at both horizontal and vertical levels, different hardware platforms, different operating systems, fixed and mobile nodes, etc) to talk to and understand each other. A major enabler for this interoperability is the use of standard and commercial-off-the-shelf technologies (e.g. communication protocols, hardware platforms, operating systems). As IPv6 has become the de-facto communication technology for the Internet, 6LoWPAN has recently started paving the way for extending the Internet to low-power low-cost wireless devices. However, while mobility support will be a requirement (or at least beneficial) in many applications contexts, the support of mobile nodes in the default 6loWPAN/RPL protocol leads to excessive packet loss and delays. In this work, we show that interoperability between fixed and mobile nodes can be successfully achieved through the use of appropriate hand-off and topology management techniques. We propose a mobility management framework (dubbed mRPL+) unifying two hand-off models: (1) hard hand-off, where a mobile node has to break a link before finding a new link, and (2) soft hand-off , where a mobile node selects the new link before disconnecting from the current one. Importantly, mRPL+ is integrated in the 6LoWPAN/RPL stack in a backward compatible manner. Simulation results indicate that in a network with mobile nodes, packet delivery ratio with mRPL+ is nearly 100%, where RPL achieves 80% in best-case. Hand-off process has a disconnected period of few milliseconds (hand-off delay = 4 ms), while RPL experiences few seconds of disconnection during node’s mobility (3−10 s).info:eu-repo/semantics/publishedVersio

    mRPL+: A mobility management framework in RPL/6LoWPAN

    No full text
    The next generation Internet (also known as Internet-of-Things – IoT), will ubiquitously integrate trillions of computing devices of all kinds, shapes and sizes. For this ubiquity to materialize, a key aspect will certainly be interoperability, the capability of different technologies (e.g. different communication protocols at both horizontal and vertical levels, different hardware platforms, different operating systems, fixed and mobile nodes, etc) to talk to and understand each other. A major enabler for this interoperability is the use of standard and commercial-off-the-shelf technologies (e.g. communication protocols, hardware platforms, operating systems). As IPv6 has become the de-facto communication technology for the Internet, 6LoWPAN has recently started paving the way for extending the Internet to low-power low-cost wireless devices. However, while mobility support will be a requirement (or at least beneficial) in many applications contexts, the support of mobile nodes in the default 6loWPAN/RPL protocol leads to excessive packet loss and delays. In this work, we show that interoperability between fixed and mobile nodes can be successfully achieved through the use of appropriate hand-off and topology management techniques. We propose a mobility management framework (dubbed mRPL+) unifying two hand-off models: (1) hard hand-off, where a mobile node has to break a link before finding a new link, and (2) soft hand-off , where a mobile node selects the new link before disconnecting from the current one. Importantly, mRPL+ is integrated in the 6LoWPAN/RPL stack in a backward compatible manner. Simulation results indicate that in a network with mobile nodes, packet delivery ratio with mRPL+ is nearly 100%, where RPL achieves 80% in best-case. Hand-off process has a disconnected period of few milliseconds (hand-off delay = 4 ms), while RPL experiences few seconds of disconnection during node’s mobility (3−10 s).info:eu-repo/semantics/publishedVersio
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