In this paper, we propose a routing protocol for Emergency Response IoT based on Global Information Decision (ERGID) to improve the performances of reliable data transmission and efficient emergency response in IoT.
We also investigate design challenges and considerations for mobile distributed applications, focusing on critical performance issues of reliable data communications between mobile devices for interchanging large amount of analytical data and monitoring real-time status of cluster nodes.
A performance analysis model evaluating the performance of the reliable AL-FEC mechanism with Markov chain model .
However, the performance of the reliable anchor selection-based algorithms deteriorates dramatically unless a sufficient number of anchors are uniformly deployed.
We studied transmission mechanisms with CMT and the three alternatives in relation with the reliability of the streams (reliable streams, unreliable streams, and a mixed combination of both), and our conclusion is that, thanks to the good performance of using reliable streams in CMT, CMTMultiReliable is always the best choice of all because the delay is kept low and the PSNR is always the maximum.
Moreover, we define the concept of error zones and investigate the performance of semi-reliable retransmission and packet-level redundancy over different configurations.
In addition, a technique for efficient duplication of messages on dual networks to enhance both communication reliability and performance on top of reliable transport protocol is proposed.
We further demonstrated the reliability of these biomarkers by comparing the performance of the most reliable 2-miRNA (3-miRNA) rules with that of 1000 randomly selected 2 miRNAs (3 miRNAs) with C4.5 decision tree classifier and 10-fold cross validation, and performing a resampling test by disordering the class labels.
Design for accelerated degradation tests (ADTs) in most literature concentrates on the case of just one stress, but the performance of many highly reliable products are affected by several stresses simultaneously, so it is necessary to study the optimal models for the ADTs with several stresses.
Patients also need to master skilled performance of actions including reliable self-cueing of performance of SMBG at appropriate intervals and administering insulin as prescribed in the context of competing daily demands and distractions.
