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Decision-making has been simplified, leading to improved access to services and a reduction in communication failures.
Any reduction in communication cost would result in an efficient use of battery energy, which is very limited in sensors.
Our results yield two interesting facts: (1) allowing some load imbalance can provide some reduction in communication and total execution times and (2) as larger numbers of processors are applied to a problem, larger amounts of load imbalance are beneficial.
We demonstrate using several synthetic and real datasets that our proposed scheme achieves a higher detection performance with a significant reduction in communication overhead in the network compared to centralised and existing schemes.
The simulation results show that the use of task slack time while allocating tasks to processing elements can produce on an average 28% reduction in communication energy, compared to communication-aware packing based nearest neighbour algorithm.
In general, our algorithm achieves a significant reduction in communication cost compared to baseline algorithms.
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These experiments suggest that mobile phone technology can result in reductions in communication and transaction costs, as well as welfare gains, in particular contexts.
In the unknown parameter case, we derive in detail the Rao-Blackwellized version of the ReDif-PF and introduce approximate versions thereof that enable significant reductions in communication cost.
The methodology and experimental results will be of interest to the cochlear implant community, the hearing aid community as well as any others who are interested in noise reduction in portable communication systems.
The results show significant reduction in the communication cost compared with others famous approaches used in this field.
Results also show noticeable reduction in the communication cost and an even distribution of events propagation through the network.
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