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With a view to wireless sensor networks, this paper formulates the objective of mobile agent route in terms of maximizing an objective function, which prefers the paths with higher signal accumulation, lower energy consumption, path loss and delay. Further, a genetic algorithm is proposed to compute such an optimal mobile agent route solution by suitably(More)
This paper designs a microeconomic system for task scheduling in wireless sensor networks by virtue of the migration of mobile agents. Further, it proposes a market-based adaptive task scheduling algorithm, named MATS, which schedules tasks to the set of optimal nodes by adjusting the energy price of nodes and modifying the nodes' roles. The simulation in(More)
As the robot application range extends constantly, its working condition is getting more complex, which is always unknown, dynamic and unstructured. Through exploring the behavior –based robot control technology, the intelligent avoiding barriers control system design of an autonomous mobile robot is presented. And the implementation technology of(More)
This paper presented the intelligent navigation system design of an autonomous mobile robot. A robot prototype, named SDLG-2, was used to introduce t his implementation technology of this scheme the kinematics model is built based on its motion structure. Using twelve sonar sensors, the strategy algorithm of behaviour-based navigation control is brought(More)
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