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Situational and Adaptive Context-Aware Routing for Opportunistic IoT Networks

机译:机会物联网网络的情境和自适应上下文感知路由

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The increased capabilities of embedded devices have made them smarter and able to adapt themselves to their users' needs and preferences. Nevertheless, this adaptation has been limited to a single device or to a small number of them. Moreover, the Internet of Things (IoT) paradigm requires to coordinate a huge number of devices and to adapt them to their users' context, which will lead to an increase in the traffic exchanged between these devices and the cloud. In this paper, the definition of Opportunistic Context-Virtual Networks (OCVNs), and a novel routing algorithm, namely Situational and Adaptive Context-Aware Routing (SACAR), are proposed to dynamically adapt the users context to the opportunistic IoT network environment they belong to at a given time. By taking advantage of the computing capacities of the nodes, and under simulations over a realistic reference scenario, SACAR outperforms other well-known opportunistic routing algorithms in terms of packet delivery ratio, reducing both average latency and network overhead.
机译:嵌入式设备功能的增强使它们变得更智能,并能够使其适应用户的需求和喜好。然而,这种适应仅限于单个设备或少数设备。此外,物联网(IoT)范式要求协调大量设备并使它们适应其用户的环境,这将导致这些设备与云之间交换的流量增加。本文提出了机会上下文虚拟网络(OCVN)的定义,并提出了一种新的路由算法,即情境和自适应上下文感知路由(SACAR),以使用户上下文动态适应他们所属的机会IoT网络环境在给定的时间。通过利用节点的计算能力,并在实际参考场景下进行仿真,SACAR在数据包传递率方面优于其他知名的机会路由算法,从而减少了平均延迟和网络开销。

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