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Fig. 2 Single mobile agent data collection model.
Fig. 3 Multi mobile agent data collection model Fig. 4 Task flow model.
This paper addresses the area of mobile agent data integrity protection.
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As shown in Figure 5a, the three optimization positions of mobile agent nodes data are separately found according to different data sets D1, D2, and D3 generated by different tasks.
In particular, a mobile agent, namely data filtering agent, is devised to temporarily reside at the FS to perform mobile agent-based data distribution management for clients.
The experimental results also show that the proposed mobile agent-based data distribution can raise adaptability and applicability to large-scale HLA simulations.
b Mobile agent migration and data collection from CHs.
A mobile agent approach reduces data collection from remote sites and therefore also reduces communication costs.
In order to adapt to the dynamic change of network topology, we design a mobile agent based compressive data gathering algorithm (MA-Greedy algorithm), where each sensor node is uniformly visited in M measurements.
Then, we study the mobility of mobile agent node on maximizing the saving energy efficiency of data fusion.
During the process of data collection, a mobile agent will collect and fuse the data of each node.
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