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If the moving belts were not switched for a long time, the sensor nodes in the moving belts could cause the "hot spot" problems, which would shorten the network lifetime.
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Cluster size control plays a significant role in balancing energy consumption and mitigating hot spot problem in wireless sensor networks.
Clustering is the most popular energy efficient technique and provides various advantages like energy efficiency, lifetime, scalability and less delay; but it leads to hot spot problem.
To resolve the hot spot problem, a computer-aided scale-up method combining process modeling software, heat exchanger design software and computational fluid dynamics (CFD) analysis is proposed.
Mobile sink (MS) has drawn significant attention for solving hot spot problem (also known as energy hole problem) that results from multihop data collection using static sink in wireless sensor networks (WSNs).
The fixed-bed or packed-bed type reactor has its drawbacks, which are heat transfer limitation, i.e. a hot spot problem involved highly exothermic characteristics of FT reaction, and mass transfer limitation due to the condensation of liquid hydrocarbon products occurred on catalyst surface.
A mobile sink can alleviate "hot spot" problem efficiently.
Recently, multi-sink wireless sensor networks have been envisioned to solve the hot spot problem.
We attempt to mitigate the hot spot problem through load-balancing functionality.
Deploying more nodes to these regions is also another solution for the hot spot problem.
The use of a virtual infrastructure for the data dissemination can lead to the hot spot problem.
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