Tree TDMA MAC Algorithm Using Time and Frequency Slot Allocations in Tree-Based WSNsopen access
- Authors
- Lee, Jae-Hyoung; Cho, Sung Ho
- Issue Date
- Aug-2017
- Publisher
- SPRINGER
- Keywords
- IEEE802.15.4; CSMA/CA; TDMA; TreeMAC; TDMA MAC; Tree topology
- Citation
- WIRELESS PERSONAL COMMUNICATIONS, v.95, no.3, pp.2575 - 2597
- Indexed
- SCIE
SCOPUS
- Journal Title
- WIRELESS PERSONAL COMMUNICATIONS
- Volume
- 95
- Number
- 3
- Start Page
- 2575
- End Page
- 2597
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/19492
- DOI
- 10.1007/s11277-016-3938-9
- ISSN
- 0929-6212
- Abstract
- In this paper, we propose a tree-based time division multiple access (Tree TDMA) media access control (MAC) algorithm based on the IEEE 802.15.4 PHY standard. The method involves the simultaneous use of two algorithms, a time slot allocation algorithm (TSAA) and a frequency slot allocation algorithm (FSAA), at low power consumption to support voice and data communication to solve the problems afflicting prevalent MAC protocols in tree topology networks. The TSAA first generates routing paths through the control channel in a super frame prior to transmitting packets, and allocates time slots for each node to transmit packets. The FSAA then allocates frequencies to each path according to the routing paths generated following its application. The overhearing problem and the funneling effect in TDMA as well as carrier sense multiple access with collision avoidance (CSMA/CA) MACs are resolved by these two algorithms because a given node and its neighbors are orthogonal in terms of time and frequency. The problem of inter-node synchronization is addressed by periodically sending a beacon from higher to lower nodes, and the issue of low power is solved by leaving unsigned time slots in an idle state. To test the effectiveness of the proposed algorithm, we used a MATLAB simulation to compare its performance with that of contention-based CSMA MAC and non-contention-based TreeMAC in terms of network throughput, network delay, energy efficiency, and energy consumption. We also tested the performance of the algorithms for increasing number of nodes and transmission packets in the tree topology network.
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