scholarly journals Cross-Layer System for Cluster Based Data Access in MANET’S

Author(s):  
Anand Nayyar

The objective of cooperative caching is to improve data availability, improve access efficiency and reduce query delay in mobile Ad-Hoc networks. Many types of cache replacement algorithms like LRU, LFU, LFRU, LRU-MIN and LFU-MIN are used to improve data accessibility and reduce query delay in cluster based cooperative caching in Mobile Ad-Hoc networks. But they have some limitations such as accessing remote information station via multi hop communication leads to longer query latency and causes high energy consumption, many clients frequently access the database server they cause a high load on the server and reduce the server response time .Multi hop communication causes the network capacity degrades when network partition occurs. The Research Paper gives an overview of Cooperative Cache Management Techniques and caching policies and propose a new algorithm can be regarded as a LRFU-MIN (least recently frequently used information with minimal number of page replacements). It discover a data source which induces less communication cost of moving cache blocks into the most recently frequently used position and minimizes caching duplications between neighbour nodes. In this paper we utilize a cross-layer design approach to improve the performance of combined cooperative caching and prefetching schemes. The paper examines the performance using NS-2 simulation environments. The proposed LRFU-MIN enhances the performance of cross-layer cluster based cooperative caching in mobile Ad- Hoc networks when compared with LRU and LFU-MIN.

2007 ◽  
Vol 3 (1) ◽  
pp. 19-37 ◽  
Author(s):  
Narottam Chand ◽  
R. C. Joshi ◽  
Manoj Misra

Cooperative caching, which allows sharing and coordination of cached data among clients, is a potential technique to improve the data access performance and availability in mobile ad hoc networks. However, variable data sizes, frequent data updates, limited client resources, insufficient wireless bandwidth and client's mobility make cache management a challenge. In this paper, we propose a utility based cache replacement policy, least utility value (LUV), to improve the data availability and reduce the local cache miss ratio. LUV considers several factors that affect cache performance, namely access probability, distance between the requester and data source/cache, coherency and data size. A cooperative cache management strategy, Zone Cooperative (ZC), is developed that employs LUV as replacement policy. In ZC one-hop neighbors of a client form a cooperation zone since the cost for communication with them is low both in terms of energy consumption and message exchange. Simulation experiments have been conducted to evaluate the performance of LUV based ZC caching strategy. The simulation results show that, LUV replacement policy substantially outperforms the LRU policy.


Author(s):  
Naveen Chauhan ◽  
Lalit K. Awasthi ◽  
Narottam Chand ◽  
Ramesh C. Joshi ◽  
Manoj Misra

Mobile ad hoc network (MANET) presents a constrained communication environment due to fundamental limitations of client’s resources, insufficient wireless bandwidth and users’ frequent mobility. MANETs have many distinct characteristics which distinguish them from other wireless networks. Due to frequent network disconnection, data availability is lower than traditional wired networks. Cooperative caching helps MANETs in alleviating the situation of non availability of data. In this paper, the authors present a scheme called global cluster cooperation (GCC) for caching in mobile ad hoc networks. In this scheme, network topology is partitioned into non-overlapping clusters based on the physical network proximity. This approach fully exploits the pull mechanism to facilitate cache sharing in a MANET. Simulation experiments show that GCC mechanism achieves significant improvements in cache hit ratio and average query latency in comparison with other caching strategies.


Author(s):  
Naveen Chauhan ◽  
Lalit K. Awasthi ◽  
Narottam Chand ◽  
R.C. Joshi ◽  
Manoj Misra

Mobile ad hoc network (MANET) presents a constrained communication environment due to fundamental limitations of client’s resources, insufficient wireless bandwidth and users’ frequent mobility. MANETs have many distinct characteristics which distinguish them from other wireless networks. Due to frequent network disconnection, data availability is lower than traditional wired networks. Cooperative caching helps MANETs in alleviating the situation of non availability of data. In this paper, the authors present a scheme called global cluster cooperation (GCC) for caching in mobile ad hoc networks. In this scheme, network topology is partitioned into non-overlapping clusters based on the physical network proximity. This approach fully exploits the pull mechanism to facilitate cache sharing in a MANET. Simulation experiments show that GCC mechanism achieves significant improvements in cache hit ratio and average query latency in comparison with other caching strategies.


Author(s):  
Devendra Kumar Jain ◽  
Sanjay Sharma ◽  
Shashank Yadav ◽  
Jitendra Singh

: Mobile Ad Hoc Networks (MANETs) are networks that enable server and clients to impart without any settled foundation. MANET is a quickly developing region of research as it discovers use in different applications. In MANETs, network parceling and the fizzling of a mobile node because of weariness of their battery power can significantly diminish data accessibility. Data caching on the client is generally observed as a successful answer for enhancing data availability. Specifically, cooperative caching based on information sharing and coordination of cached data item among numerous clients is much time-consuming. Various cooperative caching plans have been proposed in the ongoing years. This paper examines the highlights for outlining a good cooperative cache management, and it overviews the current cooperative caching scheme. The paper likewise gives a correlation of the cooperative caching scheme and examines open doors for future research work.


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