Header menu link for other important links
X
Efficiency analysis of M2M data collection networks using multipacket reception in frame-slotted ALOHA
Published in Institute of Electrical and Electronics Engineers Inc.
2016
Volume: 2016-September
   
Abstract
We consider a Machine-To-Machine (M2M) network where a large number of user nodes (STAs) communicate with a Data Collector (DC). We consider the case where all the user nodes periodically transmit their data packets to the DC and the network is in saturation. Recently protocols based on Frame Slotted Aloha (FSA) have been shown to be suitable as MAC protocols for M2M data collection networks under saturated conditions. It can be shown that implementing Multi-Packet Reception (MPR) capability to the DC improves the performance of the FSA protocol. In this work we propose a Multi-Packet Reception (MPR) based FSA (MPR-FSA) protocol and study its performance. We derive the asymptotic limits of throughput, delay and energy efficiency based on MPR-FSA protocol. We also derive the limiting value of MPR (Klim) parameter for a given FSA based data collection network at which asymptotic performance is achieved. A mathematical model is proposed and the analytical values are validated using extensive simulations. © 2016 IEEE.
About the journal
JournalData powered by TypesetIEEE Wireless Communications and Networking Conference, WCNC
PublisherData powered by TypesetInstitute of Electrical and Electronics Engineers Inc.
ISSN15253511
Open AccessNo
Concepts (12)
  •  related image
    Energy efficiency
  •  related image
    Medium access control
  •  related image
    Wireless telecommunication systems
  •  related image
    Asymptotic limits
  •  related image
    ASYMPTOTIC PERFORMANCE
  •  related image
    DATA COLLECTION NETWORKS
  •  related image
    Efficiency analysis
  •  related image
    Extensive simulations
  •  related image
    Machine-to-machine (m2m)
  •  related image
    MULTIPACKET RECEPTION
  •  related image
    Saturated conditions
  •  related image
    Data acquisition