Congestion-Aware MAC Layer Adaptation to Improve Video Telephony over Wi-Fi

2016 ◽  
Vol 12 (5s) ◽  
pp. 1-24 ◽  
Author(s):  
Wei Chen ◽  
Liangping Ma ◽  
Chien-Chung Shen
Keyword(s):  
Mac Layer ◽  
Video Telephony ◽  
Congestion Aware

Performance Analysis of TBC-ACO Routing Protocol with Existing Routing Protocols of Wireless Sensor Networks

2017 ◽  
Vol 7 (8) ◽  
pp. 169
Author(s):  
A. Radhika ◽  
D. Haritha
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Swarm Intelligence ◽  
Routing Protocol ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Congestion Aware

Wireless Sensor Networks, have witnessed significant amount of improvement in research across various areas like Routing, Security, Localization, Deployment and above all Energy Efficiency. Congestion is a problem of  importance in resource constrained Wireless Sensor Networks, especially for large networks, where the traffic loads exceed the available capacity of the resources . Sensor nodes are prone to failure and the misbehaviour of these faulty nodes creates further congestion. The resulting effect is a degradation in network performance, additional computation and increased energy consumption, which in turn decreases network lifetime. Hence, the data packet routing algorithm should consider congestion as one of the parameters, in addition to the role of the faulty nodes and not merely energy efficient protocols .Nowadays, the main central point of attraction is the concept of Swarm Intelligence based techniques integration in WSN.  Swarm Intelligence based Computational Swarm Intelligence Techniques have improvised WSN in terms of efficiency, Performance, robustness and scalability. The main objective of this research paper is to propose congestion aware , energy efficient, routing approach that utilizes Ant Colony Optimization, in which faulty nodes are isolated by means of the concept of trust further we compare the performance of various existing routing protocols like AODV, DSDV and DSR routing protocols, ACO Based Routing Protocol  with Trust Based Congestion aware ACO Based Routing in terms of End to End Delay, Packet Delivery Rate, Routing Overhead, Throughput and Energy Efficiency. Simulation based results and data analysis shows that overall TBC-ACO is 150% more efficient in terms of overall performance as compared to other existing routing protocols for Wireless Sensor Networks.

A MAC Layer Optimization Algorithm in Wireless Sensor Networks

2012 ◽  
Vol 35 (3) ◽  
pp. 529-539 ◽  
Author(s):  
Yun-Lu LIU ◽  
Ju-Hua PU ◽  
Wei-Wei FANG ◽  
Zhang XIONG
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Optimization Algorithm ◽  
Wireless Sensor ◽  
Mac Layer

Research on MAC layer communication performance model of wireless sensor networks

2013 ◽  
Vol 26 (2) ◽  
pp. 144-149
Author(s):  
Wei Sun ◽  
Jianping Wang ◽  
Qiyue Li ◽  
Zituo Qian ◽  
Chongwei Zhang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Performance Model ◽  
Wireless Sensor ◽  
Mac Layer ◽  
Communication Performance

Advanced physical and MAC layer techniques for DVB based interactive satellite terminals

2006 ◽  
Author(s):  
A. Ginesi ◽  
R. Rinaldo ◽  
R. De Gaudenzi ◽  
O. del Rio
Keyword(s):  
Mac Layer

scholarly journals The Effect of Multiple Access Categories on the MAC Layer Performance of IEEE 802.11p

2020 ◽  
Author(s):  
Geeth P. Wijesiri ◽  
Jussi Haapola ◽  
Tharaka Samarasinghe
Keyword(s):  
Multiple Access ◽  
Ieee 802.11P ◽  
Mac Layer

scholarly journals A Discrete-Time Markov Chain Based Comparison of the MAC Layer Performance of C-V2X Mode 4 and IEEE 802.11p

2020 ◽  
pp. 1-1
Author(s):  
Geeth P. Wijesiri N.B.A ◽  
Jussi Haapola ◽  
Tharaka Samarasinghe
Keyword(s):  
Markov Chain ◽  
Discrete Time ◽  
Ieee 802.11P ◽  
Mac Layer ◽  
Discrete Time Markov Chain
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