Enhanced ANTSEC framework with cluster based cooperative caching in mobile ad hoc networks

Abstract

In a mobile ad hoc network (MANET), communication between mobile nodes occurs without centralized control. In this environment the mobility of a node is unpredictable; this is considered as a characteristic of wireless networks. Because of faulty or malicious nodes, the network is vulnerable to routing misbehavior. The resource constrained characteristics of MANETs leads to increased query delay at the time of data access. In this paper, AntHocNet+Security (ANTSEC) framework is proposed that includes an enhanced cooperative caching scheme embedded with artificial immune system. This framework improves security by injecting immunity into the data packets, improves the packet delivery ratio and reduces end-to-end delay using cross layer design. The issues of node failure and node malfunction are addressed in the cache management.

A Literature Review on Collaborative Caching Techniques in MANETs: Issues and Methods used in Serving Queries

“…The approach proposed in [25] considers the progress of data discovery. In this approach, nodes within a zone form a cooperative cache, since a zone transmission range is formed based on a set of one-hop neighbors.…”

Design and Implementation of Smart Phone Games for Linux Clustering

“…However, this could result in clock synchronization, deadlock between servers, and integrity and simultaneity of game data. Again, this structure can share data with other server(s) but sometimes the clients can be concentrated on a certain server so that the loads will not be distributed evenly [11][12][13][14][15][16][17][18][19][20].…”

Collaborative caching discovery management in mobile ad hoc networks environments

“…Nevertheless, the existing collaborative caching approaches in MANETs have drawbacks in term of achieving low hit ratio, high delay due to a number of pending queries. This is a consequence of serving queries based on hop by hop forwarding as in Artail et al (2008) , Cao, Yin & Das (2004) , Chand, Joshi & Misra (2007a) , Chand, Joshi & Misra (2007b) , Du & Gupta (2005) , Umamaheswari & Radhamani (2015) , Abbani & Artail (2015) , El Khawaga, Saleh & Ali (2016) , Ting & Chang (2013) , Larbi, Bouallouche-Medjkoune & Aissani (2018) and Delvadia & Dutta (2022) , and broadcast or flooding messages as in Denko (2007) , Du, Gupta & Varsamopoulos (2009) , Tian & Denko (2007) , Ting & Chang (2007) , Chand, Joshi & Misra (2007b) and Krishnan et al. (2021) .…”

“…The main objective of these approaches is to reduce latency, to lessen flooding and network traffic, and to avoid the drawback of group maintenance by having a distributed approach. Zone Cooperative (ZC) approach is proposed to consider the progress of data discovery ( Umamaheswari & Radhamani, 2015 ). In this approach, the nodes at the same cluster range form a collaborative caching since a zone transmission range is formed based on a set of one hop neighbors ( Elfaki et al, 2019 ).…”