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A Query based Information search in an Individual’s Small World of Social Internet of Things
Computer Communications ( IF 4.5 ) Pub Date : 2020-09-08 , DOI: 10.1016/j.comcom.2020.08.027
Abdul Rehman , Anand Paul , Awais Ahmad

Recently, the consolidation of Social Network and the Internet of Things (IoT) acquiring appreciation and consideration among researchers due to its immense and adaptable behavior. Social Internet of Things (SIoT) comprehends the adequacy to support the inventive applications and network services with adept and persuasive demeanors. The author’s exertion for this research provides the subsistence to the SIoT amelioration Currently, the SIoT technique proven to be competent, but the exponential growth of heterogeneous smart devices may arise a challenging scenario. Searching the right object, service, or best path to the informative nodes in such highly convoluted networks is always a challenging task. This research strengthen the SIoT paradigm by consolidating the properties of the individual’s Small World. In addition, this research also advises a Smart Social Agent (SSA) to minimize the human intervention. The absolute objective of this paper is two-fold, (i) transformation of SIoT network into Individual’s Small World SIoT network, (ii) searching the right information efficiently by exploiting SSA. To accomplish the goal we have proposed an efficient Query based Searching algorithm which exploits Service Oriented properties of Individual’s Small World SIoT network and searches information. First result shows the significant alleviation in the network complexity, reduces the average path length, and network diameter. Eventually, it improves the network scalability and navigability. While second result shows that the proposed Query based searching algorithm proves to be efficient with its mean execution time not more than 2.66 ms for complete network on two different machines. Whereas, for Individual’s small world network the mean execution time is not more than 2.47 ms for both machine.



中文翻译:

个人的小物联网世界中基于查询的信息搜索

最近,由于社交网络和物联网(IoT)的巨大且适应性强的行为,它们的合并获得了研究人员的赞赏和考虑。社交物联网(SIoT)具备足够的能力,以娴熟而有说服力的行为来支持发明的应用程序和网络服务。作者的努力为SIoT的改善提供了生存基础。目前,已证明SIoT技术是有效的,但是异构智能设备的指数增长可能会带来挑战。在这种高度复杂的网络中,搜索正确的对象,服务或到达信息节点的最佳路径始终是一项艰巨的任务。这项研究通过巩固个体的小世界的属性来加强SIoT范式。此外,这项研究还建议智能社交代理(SSA)尽量减少人为干预。本文的绝对目标是双重的,(i)将SIoT网络转换为个人的小世界SIoT网络,(ii)通过利用SSA有效地搜索正确的信息。为了实现该目标,我们提出了一种有效的基于查询的搜索算法,该算法利用了个人小世界SIoT网络的面向服务的属性并搜索信息。第一个结果表明,可以显着减轻网络复杂性,减少平均路径长度和网络直径。最终,它改善了网络的可扩展性和可导航性。第二个结果表明,所提出的基于查询的搜索算法被证明是有效的,其平均执行时间不超过2。两个不同机器上的完整网络需要66毫秒。而对于个人的小型世界网络,两台计算机的平均执行时间均不超过2.47毫秒。

更新日期:2020-09-25
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