International Conference Papers

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Author: search.filters.author.Bagula, AntoineHas files: Yes

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    Ubiquitous sensor network management: The least interference beaconing model
    (IEEE Communication Scociety, 2013-09) Bagula, Antoine; Djenouri, Djamel; Karbab, Elmouatezbillah
    Network management is revisited in the emerging ubiquitous sensor networks (USNs) that form the Internet-ofthe- Things (IoT) with the objective of evaluating the impact of traffic engineering on energy efficiency and assessing if routing simplicity translates into scalability. USN management is formulated as a local optimization problem minimizing the number of traffic flows transiting by a node: the nodes traffic flow interference with other nodes. The least interference beaconing algorithm (LIBA) is proposed as an algorithmic solution to the problem, and the least interference beaconing protocol (LIBP) as its protocol implementation. LIBP extends the beaconing process widely used by collection protocols with load balancing to improve the USN energy efficiency. Simulation results reveal the relative efficiency of the resulting traffic engineering scheme compared to state of the art protocols. These results show up to 30% reduction in power consumption compared to TinyOS beaconing (TOB), and up to 40% compared to collection tree protocol (CTP) while sustaining better performance in terms of scalability
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    On the Relevance of Using Interference and Service Differentiation Routing in the Internet-of-Things
    (Springer, 2013-08) Bagula, Antoine; Djenouri, Djamel; Karbab, Elmouatezbillah
    Next generation sensor networks are predicted to be deployed in the Internet-of-the-Things (IoT) with a high level of heterogeneity. They will be using sensor motes which are equipped with different sensing and communication devices and tasked to deliver different services leading to different energy consumption patterns. The application of traditional wireless sensor routing algorithms designed for sensor motes expanding the same energy to such heterogeneous networks may lead to energy unbalance and subsequent short-lived sensor networks resulting from routing the sensor readings over the most overworked sensor nodes while leaving the least used nodes idle. Building upon node interference awareness and sensor devices service identification, we assess the relevance of using a routing protocol that combines these two key features to achieve efficient traffic engineering in IoT settings and its relative efficiency compared to traditional sensor routing. Performance evaluation with simulation reveals clear improvement of the proposed protocol vs. state of the art solutions in terms of load balancing, notably for critical nodes that cover more services. Results show that the proposed protocol considerably reduce the number of packets routed by critical nodes, where the difference with the compared protocol becomes more and more important as the number of nodes increases. Results also reveal clear reduction in the average energy consumption.