The proposed framework employs a packet erasure network, in which the probability of packet erasure is estimated according to the estimated communication latency between each receiver-peer and the source-peer.
In order to prepare for such a network, the electromagnetic environment has to be characterized and tests in laboratories have to be performed to estimate the communication performances.
In the same way, by simulating the process that RSU releasing 340 bytes Data to vehicles, we can estimate the communication performance of V2R.
Future work needs to address the raised problem of providing nodes in the network with sufficient knowledge to precisely estimate the communication density, which is the key parameter of the empirical model.
In this scheme, by applying the method of non-linear least squares, the user terminal (UT) can use the receiving power to estimate the communication round trip delay (RTD) and based on the transmission delay of the beam center and the satellite, RTD can be compensated before transmission.
Consequently, and based on the assumption used in Markov model in synchronous MAC protocol, our proposed model uses two different values of probabilities for transmission and collision, p s and p f, respectively, to handle the hidden terminal problem and to estimate the communication links performance.
In this case, the results would be the same; participants would estimate threatening communication to be effective, while being aware that this is conditional upon high efficacy.
Thus, this paper proposes a new cross layer MAC called Dynamic Neighbour Aware Power-controlled MAC (Dynamic NA-PMAC) for multi-hop Ad-hoc networks that adjust the transmission power by estimating the communication distance based on the overheard signal strength.
Proper use of PSM should also allow for rigorously derived and relatively unbiased estimates of communication's or education's effects on participants' behavior [ 12].
*Adjusted for patient's sex, age, ethnicity, and self reported health status. Figure 1 shows the estimated mean communication scores for individual doctors and for practices as a whole.
