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This paper proposes an optimal itinerary plan for mobile sinks in the network-coding-based WSNs.
Itinerary plan determines the order of locations that controllable-mobile sink(s) has to sojourn at them, where is a challenging issue especially for the resource constrained Wireless Sensor Networks (WSNs).
The app/website then delivers a confirmation note as well as an exact itinerary plan with departure and arrival times.
Tourists may leave the city bus and board again without a time limit (called "hop-on hop-off") at designated stops on a circle route as per the itinerary plan.
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This enables the user to interact with information on transit routes, schedules, and trip itinerary planning.
"You have to have your itinerary planned out quite well, consider transportation and stay abreast of latest developments".
There, Zhou worked closely with Professor Hai Jiang SM '04, PhD '06 to create an offline transportation itinerary planning app.
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.
We design three metrics (energy consumption, network lifetime, and the number of hops) and use simulation tools to quantitatively measure the performance of different itinerary planning algorithms.
To address these issues, we have adapted an algorithm originally designed to solve network design problems to the specific problematic of MA itinerary planning.
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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