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Author:

Mughal, Sadia (Mughal, Sadia.) | Razaque, Fahad (Razaque, Fahad.) | Hassan, Muhammad Raheel (Hassan, Muhammad Raheel.) | Malani, Mukesh (Malani, Mukesh.)

Indexed by:

EI Scopus

Abstract:

Internet-of-things (IoT) is aimed to proficiently facilitate the dream of interconnected routine objects and links. It is anticipated to share data ubiquitously even without individual's intrusion. In last few years, an interchange from physical gatherings to cybernetic gatherings has been experienced, which prompts neglected communal events in our consistently plan. A fact, living individuals do not know about neighbors with normal interests or adjacent circumstances. This paper attempts to enhance social availability in physical groups as well as virtual groups by utilizing data about individuals, social connections, sharing of any useful information like environmental pollution, and social spots. In this model, the IoT is originating the data from the environment and the Opportunistic community OC is making the possibility of the individual-to-gadget communication. This paper presents a practicable middleware framework associated with mobile agents that empowers Opportunistic community (OC) improvement and gives a typical stage to catching, overseeing, and spreading the social condition of physical groups. © 2019 IEEE.

Keyword:

Mobile agents Social networking (online) Middleware Internet of things Data Sharing

Author Community:

  • [ 1 ] [Mughal, Sadia]College of Computing and Information Science (CoCIS), PAF-Karachi Institute of Economics and Technology, Sindh Karachi, Pakistan
  • [ 2 ] [Razaque, Fahad]School of Software Engineering, Beijing University of Technology, Beijing, China
  • [ 3 ] [Hassan, Muhammad Raheel]Department of Electrical Engineering, NED University of Engineering and Technology, Sindh Karachi, Pakistan
  • [ 4 ] [Malani, Mukesh]Department of Computing and Technology, Indus University, Sindh Karachi, Pakistan

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Year: 2019

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 17

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