Distributed Contention Control in Heterogeneous 802.11b WLANs

2005 ◽  
Author(s):  
R. Bruno ◽  
M. Conti ◽  
E. Gregori
Keyword(s):  
Contention Control

Joint Offloading and IEEE 802.11p-based Contention Control in Vehicular Edge Computing

2020 ◽  
pp. 1-1
Author(s):  
Van Dung Nguyen ◽  
Tran Trong Khanh ◽  
Nguyen H. Tran ◽  
Eui-Nam Huh ◽  
Choong Seon Hong
Keyword(s):  
Edge Computing ◽  
Ieee 802.11P ◽  
Contention Control

Scalable 10 Gbit/s 4 × 2 0.25 [micro sign]m CMOS/SIMOX ATM switch LSI circuit based on distributed contention control

1999 ◽  
Vol 35 (9) ◽  
pp. 715
Author(s):  
E. Oki ◽  
N. Yamanaka ◽  
K. Okazaki ◽  
Y. Ohtomo
Keyword(s):  
Atm Switch ◽  
Contention Control

TCP-CC: cross-layer TCP pacing protocol by contention control on wireless networks

2014 ◽  
Vol 21 (4) ◽  
pp. 1061-1078 ◽  
Author(s):  
Hengheng Xie ◽  
Azzedine Boukerche
Keyword(s):  
Wireless Networks ◽  
Cross Layer ◽  
Contention Control

Performance Analysis of Prioritization and Contention Control Algorithm in Wireless Body Area Networks

2020 ◽  
Author(s):  
Nithya B ◽  
Naveen Ranjan ◽  
Justin Gopinath A
Keyword(s):  
Energy Consumption ◽  
Control Algorithm ◽  
Wireless Body Area Network ◽  
Delivery Ratio ◽  
Second Phase ◽  
Area Network ◽  
Channel Access ◽  
Body Area ◽  
Current Channel ◽  
Contention Control

Abstract A Wireless Body Area Network (WBAN) is the composition of a group of energy-efficient, miniature, invasive/non-invasive, light-weighted sensors that monitor human body health conditions for early detection and treatment for life-threatening diseases. Due to the stringent demands of WBAN, such as energy efficiency, reliability and low delay, the development of an efficient contention control algorithm is exceptionally crucial that aims to maximize throughput by reducing collisions. In this context, this paper proposes an adaptive algorithm, namely, Prioritization and Contention Control (PCC) algorithm, to minimize collisions, latency and energy consumption. The first phase of the proposed algorithm prioritizes sensors using run-time metrics to grant channel access only for the potential nodes to send their data. It leads to a lesser number of collisions among sensors, thereby reducing retransmission attempts. In the second phase, the Contention Window (CW) size is predicted using queue length and collision rate that accurately mimic the current channel status. The dynamic estimation of CW aids in minimizing channel access delay, collisions and energy consumption, thereby enhancing overall network performance. The performance of the proposed PCC algorithm is validated with the 2D Markov model and NS2 simulation in terms of throughput, packet delivery ratio, delay and remaining energy.

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