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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      05 July-September 2023, Volume 38 Issue 4
    Article

    OPPORTUNISTIC NETWORKS: CONCEPTS, OPPORTUNITIES AND RESEARCH CHALLENGES IN SECURITY AND QOS
    Mansi Mathur*, Dr. Jyoti Verma, Dr. Poonam
    Journal of Data Acquisition and Processing, 2023, 38 (4): 1037-1066 . 

    Abstract

    Abstract: This paper provides an in-depth analysis of opportunistic networks (OppNets), focusing specifically on the aspects of security and quality of service (QoS). OppNets are characterized by their dynamic and ad hoc nature, presenting unique challenges and opportunities for communication. The paper examines the fundamental concepts underlying opportunistic networks and highlights the potential benefits they offer in various domains such as disaster management, vehicular networks, and rural communication. Moreover, the review identifies the key research challenges associated with security and QoS in opportunistic networks, including trust establishment, data privacy, routing protocols, and resource management. The paper also explores existing approaches and solutions proposed in the literature to address these challenges. By shedding light on the research gaps and future directions, this review aims to inspire further advancements in security and QoS aspects of opportunistic networks, ultimately contributing to their practical deployment in real-world scenarios.

    Keyword

    OppNet, Ad-hoc Network, Routing, Security, QoS, Machine Learning


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ISSN 1004-9037

         

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