A Tactical Information Management Middleware for Resource-constrained Mobile P2P Networks

In this paper we provide an architecture for Tactical Information Middleware for bandwidth constrained information management. We propose the ideas of rank-Based data dissemination, and the use of a tactical information management query language. These ideas will deal with dynamic changes in bandwidth and explore opportunistic data dissemination. Thus, will lead to a cross-layer design of a system capable of handling the dynamic data management issues relevant in many missions\u27 critical applications. © 2010 IEEE

MELOC - memory and location optimized caching for mobile Ad hoc networks

The advancement of Mobile ad hoc networks (MANET) is tremendous in the field of social and military applications. Caching and Replication are the two common techniques used to improve data access efficiency in Mobile Ad hoc networks. Caching favors data access efficiency by bringing data closer to the source. Existing caching approaches are deficient in reducing the number of cache locations, thus reducing the number of copies, which is needed for many mission critical applications considering safety and security. Conversely, reducing the number of caches should not affect the efficiency of data access. We design an efficient broker based caching model named Memory and Location Optimized Caching (MELOC) , which reduces the number of cache locations, and at the same time preserves data access efficiency. Our caching model mostly chooses centrally located nodes as cache location. In addition, we cache only essential data closer to the source, saving memory. Hence our approach bears the name Memory and Location Optimized caching (MELOC) . Our initial MELOC model suits only small MANET topology of 30 nodes. We further extend our initial caching model to suit large MANET topology of 100 nodes by overcoming certain disadvantages pertaining to large network topology --Abstract, page iv