ECOR: An Energy Aware Coded Opportunistic Routing for Cognitive Radio Social Internet of Things

ECOR: An Energy Aware Coded Opportunistic Routing for Cognitive Radio Social Internet of Things
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DOI:
10.1007/s11277-019-06708-0
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发表时间:
2019-11
影响因子:
2.2
通讯作者:
Xiaoxiong Zhong;Li Li-Li;Sheng Zhang;Renhao Lu
Xiaoxiong Zhong;Li Li-Li;Sheng Zhang;Renhao Lu
中科院分区:
计算机科学4区
文献类型:
--
作者:
Xiaoxiong Zhong;Li Li-Li;Sheng Zhang;Renhao Lu

文献摘要

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近年来,社会化物联网(SIoT)成为无线网络领域的一个研究热点,物联网是人与设备之间密不可分的关系。随着大量的移动的设备将被连接,它需要更多的频谱。认知无线电(Cognitive radio,CR)技术能够以机会通信的方式提高频谱利用率,用于SIoT,称为CR-SIoT。然而,动态频谱可用性和移动的设备使得CR-SIoT中的路由设计变得更加困难。主动路由(OR)可以减轻CR-SIoT的缺点,CR-SIoT利用无线信道的广播性质,然后可以提高网络性能。在这项工作中,我们从不同类型的流的角度提出了CR-SIoT中的能量感知编码OR,它联合考虑了设计编码OR的能量效率和社会特征。在所提出的方案中,我们利用一个新的路由度量和拍卖模型来选择转发候选者,并使用网络编码来进行CR-SIoT中选定节点之间的数据传输。此外,我们证明了候选选择问题是NP困难的,并提出了一种基于干扰图的博弈论方法来分配信道。大量的仿真结果表明,所提出的编码机会路由性能优于现有的路由方案的数据包投递率,延迟和跳数。
In recent years, the social internet of things (SIoT) has become a research hot topic in the field of wireless networks, which are inseparable relationships between human and devices for internet of things. As a huge numbers of mobile devices will be connected, it needs more frequency spectrum. The Cognitive radio (CR) technology can improve spectrum utilization in an opportunistic communication manner for SIoT, which is called CR-SIoT. However, dynamic spectrum availability and mobile devices make it more difficult for routing design in CR-SIoT. Opportunistic routing (OR) can mitigate drawbacks from CR-SIoT, which leverages the broadcast nature of wireless channels, and then can enhance network performance. In this work, we propose an energy aware coded OR in CR-SIoT from a different types of flows perspective, which jointly considers energy efficiency and social feature for designing coded OR. In the proposed scheme, we exploit a new routing metric and an auction model for selecting forwarding candidates and use network coding for the data transmission between selected nodes in CR-SIoT. In addition, we prove the candidate selection problem is NP-hard and propose a game-theoretic approach to allocate channels which is based on interference graph. Extensive simulation results show that the proposed coded opportunistic routing performs better compared with existing routing schemes in terms of packet delivery ratio, delay and hop count.