Collaborative caching discovery management in mobile ad hoc networks environments

Area of Science:

• Computer Science
• Network Engineering

Background:

• Mobile ad hoc networks (MANETs) face challenges in accessing distant data due to mobility and resource limitations.
• Existing research focuses on enhancing data accessibility and reducing pending queries, with collaborative caching showing promise.
• However, query classification and distributed indexing for pending query reduction remain underexplored.

Purpose of the Study:

• To propose a novel collaborative caching discovery (CCD) mechanism for MANETs.
• To address the limitations of previous works by incorporating query classification (priority/normal) and distributed indexing.
• To reduce the number of pending queries and increase replied queries with minimal cache discovery overhead.

Main Methods:

• A collaborative caching discovery (CCD) approach based on service providers is introduced.
• Requests are processed based on their status: priority or normal.
• The proposed strategy integrates distributed indexing with classified query processing.

Main Results:

• The CCD strategy effectively reduces pending queries in MANETs.
• It demonstrates increased collaborative caching discovery efficiency.
• Outperforms the cooperative and adaptive system (COACS) by reducing pending queries by 24.21% and increasing replied queries.

Conclusions:

• The proposed CCD strategy offers an efficient solution for data access in MANETs.
• Classifying requests and employing distributed indexing significantly improves query handling.
• CCD enhances network performance by reducing latency and pending queries.