Abstract | ||
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Mobile agents are recently used in wireless and mobile network applications because these save bandwidth and time. But reliability should be analyzed before mobile agent based systems (MAS) are used for broad range of applications in Mobile Adhoc Network (MANET). Here we propose an algorithm for estimating the task route reliability of MAS that is based on the conditions of the underlying MANET including QoS parameters. The MAS consists of a no. of agent groups (having different QoS requirements). Each group corresponds to a particular application for which these agents are deployed. Thus different agent group has varying QoS requirements and hence perceive different connectivity pattern for the same MANET configuration. The complexity of MAS combined with the underlying dynamic topology of MANET drives us to estimate it using Monte Carlo simulation. The agents are so designed that they tolerate transient faults. The results achieved demonstrate the robustness of the proposed algorithm. |
Year | DOI | Venue |
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2011 | 10.1007/978-3-642-27245-5_7 | Communications in Computer and Information Science |
Keywords | Field | DocType |
Mobile Agent System,Mobile Ad hoc network,QoS,Monte-Carlo,Reliability,Mobility Model | Mobile ad hoc network,Wireless,Computer science,Mobile agent,Computer network,Quality of service,Mobility model,Real-time computing,Cellular network,Artificial intelligence,Wireless ad hoc network,Bandwidth (signal processing),Machine learning | Conference |
Volume | ISSN | Citations |
245 | 1865-0929 | 1 |
PageRank | References | Authors |
0.49 | 10 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Chandreyee Chowdhury | 1 | 30 | 12.18 |
Sarmistha Neogy | 2 | 25 | 14.34 |