TY - JOUR
T1 - Buffer Space Management in Intermittently Connected Internet of Things: Sharing or Allocation?
AU - Liu, Jia
AU - Xu, Yang
AU - Shen, Yulong
AU - Takakura, Hiroki
AU - Jiang, Xiaohong
AU - Taleb, Tarik
PY - 2021/11/16
Y1 - 2021/11/16
N2 - The efficient buffer space management in intermittently connected Internet of Things (IC-IoT) is of great importance for data delivery performance guarantee in such networks. This paper considers two typical buffer space management policies for IC-IoT, i.e., buffer-space sharing (BS) and buffer space allocation (BA). The BS policy allows the buffer space of each device to be fully shared by the exogenous packets and the packets from other devices, while the BA policy divides the buffer space into the source buffer and relay buffer for storing the two kinds of packets separately. With the help of queueing theory and Markov chain theory, we develop a theoretical framework to capture the sophisticated queueing processes for the buffer space under either BS or BA policy, which enables the limiting distribution of the buffer occupation state to be determined. We then provide theoretical modeling for throughput and expected end-to-end delay to evaluate the fundamental performance of the IC-IoT under the BS and BA policies. Finally, extensive simulation and numerical results are presented to validate theoretical models and to demonstrate the effects of BS and BA policies on the IC-IoT performance.
AB - The efficient buffer space management in intermittently connected Internet of Things (IC-IoT) is of great importance for data delivery performance guarantee in such networks. This paper considers two typical buffer space management policies for IC-IoT, i.e., buffer-space sharing (BS) and buffer space allocation (BA). The BS policy allows the buffer space of each device to be fully shared by the exogenous packets and the packets from other devices, while the BA policy divides the buffer space into the source buffer and relay buffer for storing the two kinds of packets separately. With the help of queueing theory and Markov chain theory, we develop a theoretical framework to capture the sophisticated queueing processes for the buffer space under either BS or BA policy, which enables the limiting distribution of the buffer occupation state to be determined. We then provide theoretical modeling for throughput and expected end-to-end delay to evaluate the fundamental performance of the IC-IoT under the BS and BA policies. Finally, extensive simulation and numerical results are presented to validate theoretical models and to demonstrate the effects of BS and BA policies on the IC-IoT performance.
KW - Throughput
KW - Internet of Things
KW - Delays
KW - Performance evaluation
KW - Numerical models
KW - Wireless sensor networks
KW - Wireless communication
U2 - 10.1109/JIOT.2021.3128523
DO - 10.1109/JIOT.2021.3128523
M3 - Article
SN - 2372-2541
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
M1 - 9615359
ER -