DESIGN AND IMPLEMENYATION OF GROUP MUTUAL EXCLUSION IN OPPORTUNISTIC NETWORK

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DESIGN AND IMPLEMENYATION OF GROUP MUTUAL EXCLUSION IN OPPORTUNISTIC NETWORK

Abstract:
Opportunistic networks are decentralized and dynamic communication networks that enable communication among mobile devices in the absence of a fixed infrastructure. In such networks, nodes intermittently encounter each other and opportunistically exchange information. However, ensuring mutual exclusion among nodes belonging to the same group poses a significant challenge due to the lack of continuous connectivity and the absence of a centralized authority.

This abstract presents an overview of the concept of group mutual exclusion in opportunistic networks. Group mutual exclusion refers to the coordination of multiple nodes in a network to prevent concurrent access to shared resources, ensuring that only one node from a specific group can access a resource at any given time. This issue is particularly relevant in scenarios where multiple nodes within a group may compete for limited resources, such as bandwidth or energy.

The abstract highlights the key challenges associated with achieving group mutual exclusion in opportunistic networks, including network partitioning, frequent node mobility, and intermittent connectivity. It discusses various existing approaches and techniques employed to address these challenges, such as distributed algorithms, token-based protocols, and priority-based schemes.

Furthermore, the abstract presents potential future research directions in the field of group mutual exclusion in opportunistic networks. These directions include the exploration of machine learning and artificial intelligence techniques to improve resource allocation and scheduling, the development of efficient consensus algorithms to handle network partitions, and the investigation of adaptive mechanisms to handle changing network dynamics.

In conclusion, group mutual exclusion in opportunistic networks is a complex problem that requires the development of innovative algorithms and protocols to manage resource contention among mobile nodes. Addressing this challenge has significant implications for the efficient utilization of resources in opportunistic networks and can contribute to the realization of various applications, such as disaster response systems, vehicular networks, and mobile social networks.

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