TY - JOUR
T1 - On the rate of successful transmissions in finite slotted Aloha MANETs
AU - Chen, Yin
AU - Zhu, Jinxiao
AU - Shen, Yulong
AU - Jiang, Xiaohong
AU - Tokuda, Hideyuki
N1 - Funding Information:
This work was partly supported by JSPS Grant-in-Aid for Young Scientists (B) Grant Number 17K12677, JSPS Grant Number 15H02692, RIKEN and NICT.
PY - 2017/7
Y1 - 2017/7
N2 - Mobile ad hoc networks (MANETs) with Aloha MAC protocol (A-MANETs) represent a class of important and attractive networks. This paper studies the Rate of Successful Transmissions (RST), a performance index that measures the average amount of successful transmissions, in a practical A-MANET with finite number of nodes and a class of “uniform-type” mobility models. We first develop a new theoretical framework for the temporal modeling of the concerned finite A-MANET, and prove that as time evolves the network converges in distribution to a Binomial point process. With the help of the convergence property of the network and stochastic geometry theory, we then provide our analysis on the RST. In particular, we show that although it is highly cumbersome (if not impossible) to derive the exact expression for the RST of the concerned network, it is possible to have very efficient approximations to the RST under the typical nearest neighbor/receiver transmission policy, which are accurate up to an additive asymptotic error vanishing exponentially with the number of network nodes. Finally, we provide extensive simulation/numerical results to illustrate the efficiency of our RST modeling and our theoretical findings.
AB - Mobile ad hoc networks (MANETs) with Aloha MAC protocol (A-MANETs) represent a class of important and attractive networks. This paper studies the Rate of Successful Transmissions (RST), a performance index that measures the average amount of successful transmissions, in a practical A-MANET with finite number of nodes and a class of “uniform-type” mobility models. We first develop a new theoretical framework for the temporal modeling of the concerned finite A-MANET, and prove that as time evolves the network converges in distribution to a Binomial point process. With the help of the convergence property of the network and stochastic geometry theory, we then provide our analysis on the RST. In particular, we show that although it is highly cumbersome (if not impossible) to derive the exact expression for the RST of the concerned network, it is possible to have very efficient approximations to the RST under the typical nearest neighbor/receiver transmission policy, which are accurate up to an additive asymptotic error vanishing exponentially with the number of network nodes. Finally, we provide extensive simulation/numerical results to illustrate the efficiency of our RST modeling and our theoretical findings.
KW - Aloha
KW - Binomial point process
KW - Mobile ad hoc networks
KW - Rate of successful transmissions
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U2 - 10.1016/j.adhoc.2017.04.005
DO - 10.1016/j.adhoc.2017.04.005
M3 - Article
AN - SCOPUS:85019602595
SN - 1570-8705
VL - 62
SP - 76
EP - 87
JO - Ad Hoc Networks
JF - Ad Hoc Networks
ER -