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Simulation results show considerable improvement over the static itinerary and the dynamic itinerary approaches using the predictive dynamic itinerary algorithm.
The dynamic itinerary planning (DIP) allows the MA to quickly decide on the fly the next destination node.
We propose a dynamic itinerary for certainty map integration where the entire map is progressively clarified from sensor to sensor.
Another data gathering system in WSNs has been proposed in [30] with mobile agents and mobile sink for agriculture application, to plan the itinerary, a dynamic itinerary planning approach DPMA is used.
MAs collect data over the WSN and intelligently return this to the MS. We then develop dynamic itinerary planning approach for an MA (DIPMA) to find an optimal itinerary that provides more flexible services using widespread WSNs to users.
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The mirrored baker's dynamic system has two itineraries s 1 and s 2 from the first and second branches, respectively, the two of which compose the entire itinerary for the mirrored baker's system.
An important concept about the baker's dynamic encoding system is the itinerary, which is defined as ({s}=[s_{0}, s_{1},cdots !, s_{N-2}]triangleq [mathsf {sign}(x_{0}), mathsf {sign}(x_{1}), cdots !, mathsf {sign}(x_{N- 2})]).
This paper discusses the airline itinerary choice problem in dynamic supply settings.
We then present three itinerary planning algorithms, the static, the dynamic, and the predictive dynamic approaches to solve the target tracking problem in wireless sensor networks.
In this paper, we study the key problem of determining the mobile agent itinerary for collaborative processing and model the dynamic mobile agent planning problem.
The itinerary planning for MA could be static or dynamic.
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