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By having the three components co-located and fully integrated, Jewell said they can keep the latency of communications between the components minimal.
This paper investigates the tradeoff between the energy consumption and the latency of communications in a wireless multihop network using a realistic unreliable link model.
These results show that learning algorithms can reduce the latency of communications even when the interfering traffic is generated by devices which use dissimilar packet sizes, i.e. different standards.
In this section, we confirm the ability of MAB algorithms to reduce the latency of communications and we highlight the ability of the proposed algorithms to cope with different packet sizes.
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An increase in the probability of successful transmission is beneficial for the latency of AMI communications.
As seen in Fig. 14, learning algorithms reduce by 0.8 s the latency of aggregators' communications.
Then, we use these probabilities to derive the expression of the latency of AMI communications for different frequency access schemes.
In this article, we apply reinforcement learning (RL) algorithms to reduce the latency of AMI communications in LPWANs.
In the following, we analyse the latency of AMI communications in this network for different access schemes as a function of the probability of successful transmission P su).
The probability of a successful transmission and the latency of AMI communications featuring learning algorithms are only slightly better than those experienced where using a random allocation.
Consequently, in the UCB1 algorithm case, and after exploration, the latency of AMI communications will be equal to the one studied in Section 4.2.
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