In mobile wireless sensor networks, priori-trail planning for the mobile sink is a commonly used solution to data collection from\nthe whole network, for its low protocol overhead. However, these trail-based approaches lack efficient load balance mechanism to\nhandle burstWSN traffic, which needs to be sent to the base station correctly with low delay. This paper proposed a dynamic path\nplanning for mobile sink to balance load and avoid traffic bottleneck. It contains grid partition of the network, priori-trail creation,\nburst-traffic awareness and estimation, resources collaborative strategy, and dynamic routing adjustment. Experiments on NS-2\nplatform show that the proposed algorithm can efficiently balance the regular and burst data traffic with a low-delay and low loss\nrate performance of the network.
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