Link-Layer Throughput of FHSS with Interference Mitigation: Analysis and Cross Layer Design

2014 ◽  
Author(s):  
Oluwatosin A. Adeladan ◽  
John M. Shea
Keyword(s):  
Interference Mitigation ◽  
Cross Layer ◽  
Cross Layer Design ◽  
Link Layer

MIMO Link Layer Transmission Techniques Based on Cross Layer Design

2007 ◽  
Vol 2 (7) ◽  
Author(s):  
Wessam Ajib ◽  
David Haccoun ◽  
Jean François Frigon
Keyword(s):  
Cross Layer ◽  
Cross Layer Design ◽  
Link Layer

scholarly journals Cross-Layer Design for the Physical, MAC, and Link Layer in Wireless Systems

2008 ◽  
Vol 2009 (1) ◽  
Author(s):  
Petar Popovski ◽  
Mary Ann Ingram ◽  
Christian B. Peel ◽  
Shinsuke Hara ◽  
Stavros Toumpis
Keyword(s):  
Wireless Systems ◽  
Cross Layer ◽  
Cross Layer Design ◽  
Link Layer

Cross-Layer Protocols for Multimedia Communications over Wireless Networks

2011 ◽  
pp. 318-354
Author(s):  
Jaydip Sen
Keyword(s):  
Real Time ◽  
Transport Layer ◽  
The Internet ◽  
Cross Layer ◽  
Cross Layer Design ◽  
Application Layer ◽  
Link Layer ◽  
Adaptive Controls ◽  
Wireless Medium ◽  
Hoc Networks

In the last few years, the Internet throughput, usage, and reliability have increased almost exponentially. The introduction of broadband wireless mobile ad hoc networks (MANETs) and cellular networks, together with increased computational power, have opened the door for a new breed of applications to be created; namely, real-time multimedia applications. Delivering real-time multimedia traffic over a complex network like the Internet is a particularly challenging task since these applications have strict quality-of-service (QoS) requirements on bandwidth, delay, and delay jitter. Traditional Internet protocol (IP)-based best effort service is not able to meet these stringent requirements. The time-varying nature of wireless channels and resource constrained wireless devices make the problem even more difficult. To improve perceived media quality by end users over wireless Internet, QoS supports can be addressed in different layers, including application layer, transport layer, and link layer. Cross layer design is a well-known approach to achieve this adaptation. In cross-layer design, the challenges from the physical wireless medium and the QoS-demands from the applications are taken into account so that the rate, power, and coding at the physical (PHY) layer can be adapted to meet the requirements of the applications given the current channel and network conditions. A number of propositions for cross-layer designs exist in the literature. In this chapter, an extensive review has been made on these cross-layer architectures that combine the application-layer, transport layer, and the link layer controls. Particularly, issues like channel estimation techniques, adaptive controls at the application and link layers for energy efficiency, priority based scheduling, transmission rate control at the transport layer, and adaptive automatic repeat request (ARQ) are discussed in detail.

Cross layer design with extensive virtual MIMO: FS-MUP optimization model for wireless sensor network

2020 ◽  
pp. 1-16
Author(s):  
Monali Prajapati ◽  
Dr. Jay Joshi
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Multiple Input Multiple Output ◽  
Wireless Sensor ◽  
Cross Layer ◽  
Cross Layer Design ◽  
Virtual Mimo ◽  
Proposed Model ◽  
Multiple Input ◽  
Input Multiple Output

In the wireless sensor network (WSN), wireless communication is said to be the dominant power-consuming operation and it is a challenging one. Virtual Multiple-Input–Multiple-Output (V-MIMO) technology is considered to be the energy-saving method in the WSN. In this paper, a novel multihop virtual MIMO communication protocol is designed in the WSN via cross-layer design to enhance the energy efficiency, reliability, and end-to-end (ETE) and Quality of Service (QoS) provisioning. On the basis of the proposed protocol, the optimal set of parameters concerning the transmission and the overall consumed energy by each of the packets is found. Furthermore, the modeling of ETE latency and throughput of the protocol takes place with respect to the bit-error-rate (BER). A novel hybrid optimization algorithm referred as Flight Straight Moth Updated Particle Swarm Optimization (FS-MUP) is introduced to find the optimal BER that meets the QoS, ETE requirements of each link with lower power consumption. Finally, the performance of the proposed model is evaluated over the extant models in terms of Energy Consumption and BER as well.

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