4 research outputs found

    Estudi bibliomètric any 2016. EETAC

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    El present document recull les publicacions indexades a la base de dades Scopus durant el període comprès entre el mesos de gener a desembre de l’any 2016, escrits per autors pertanyents a l’EETAC. Es presenten les dades recollides segons la font on s’ha publicat, els autors que han publicat, i el tipus de document publicat. S’hi inclou un annex amb la llista de totes les referències bibliogràfiques publicades.Postprint (author's final draft

    The RPL load balancing in IoT network with burst traffic scenarios

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    In Low Power and Lossy Networks (LLNs) sensor nodes are deployed in various traffic load conditions such as, regular and heavy traffic load. The adoption of Internet-of-Things enabled devices in the form of wearables and ubiquitous sensors and actuators has demanded LLNs to handle burst traffic load, which is an event required by myriad IoT devices in a shared LLN. In the large events, burst traffic load requires a new radical approach of load balancing, this scenario causes congestion increases and packet drops relatively when frequent traffic burst load rises in comparison with regular and heavy loads. In this paper, we introduced a new efficient load balance mechanism for traffic congestion in IPv6 Routing Protocol for Low Power and Lossy Network (RPL). To measure the communication quality and optimize the lifetime of the network, we have chosen packet delivery ratio (PDR) and power consumption (PC) as our metrics. We proposed a traffic-aware metric that utilizes ETX and parent count metrics (ETXPC), where communication quality for LLNs with RPL routing protocol are playing an important role in traffic engineering. In addition, we provided analytical results to quantify the impact of Minimum Rank with Hysteresis Objective on Function (MRHOF) and Objective Function zero (OF0) to the packet delivery, reliability and power consumption in LLNs. The simulation results pragmatically show that the proposed load balancing approach has increased packet delivery ratio with less power consumption

    Estudi bibliomètric any 2015. EETAC

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    El present document recull les publicacions indexades a la base de dades Scopus durant el període comprès entre el mesos de gener a desembre de l’any 2015, escrits per autors pertanyents a l’EETAC. Es presenten les dades recollides segons la font on s’ha publicat, els autors que han publicat, i el tipus de document publicat. S’hi inclou un annex amb la llista de totes les referències bibliogràfiques publicades.Postprint (published version

    Large-scale performance evaluation of the IETF Internet of Things protocol suite for smart city solutions

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    The Internet of Things (IoT) intends to interconnect massive amount of heterogeneous, smart devices, with the goal of interweaving the virtual world with the physical world. Smart Cities are typical IoT application domains, comprising networks with large number of sensors that survey environmental data in order to provide different services, such as City Mobility solutions that facilitate on-street parking and traffic flow monitoring. Standards and specifications defined by the Internet Engineering Task Force (IETF), like IPv6, the IPv6 over Low power Wireless Personal Area Networks (6LoWPAN) adaptation layer, and the IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL) are cornerstones of the IoT. In this paper we carry out large-scale experimental evaluations in an IoT testbed of 251 nodes to analyze the performance of the IETF IoT protocol suite in such a large-scale network. We define a City Mobility Solution application, using traces from a commercial Smart City deployment and the commonly employed Contiki implementation of IETF IoT protocol suite. The results show that the out of the box Contiki IoT protocol stack is not capable of delivering a satisfying performance. However, after a thorough analysis of the initial results, a set of improved parameter configurations is derived that allows the network to achieve much higher performance. Among others, improvements of 60.39% in PDR and 63.67% in delay are achieved. Furthermore, the paper presents and discusses the technical solutions and best-practice guidelines for a specific City Mobility solution being developed by Urbiotica, a company with ample expertise in Smart City deployments
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