scholarly journals Implementation of Cross Layer Design for Efficient Power and Routing in UAV Communication Networks

2020 ◽  
Vol 29 (1) ◽  
pp. 111-120 ◽  
Author(s):  
Haque NAWAZ ◽  
Husnain MANSOOR ALI
Keyword(s):  
Communication Networks ◽  
Cross Layer ◽  
Cross Layer Design ◽  
Efficient Power

Cross Layer Design for Multimedia Transmission over Wireless Networks

2010 ◽  
pp. 35-42 ◽  
Author(s):  
Christos Bouras ◽  
Apostolos Gkamas ◽  
Georgios Kioumourtzis
Keyword(s):  
Wireless Networks ◽  
Wireless Communications ◽  
Research And Development ◽  
Communication Networks ◽  
Cross Layer ◽  
Cross Layer Design ◽  
Multimedia Transmission ◽  
Development Activity ◽  
Design And Implementation ◽  
Design Paradigm

Over the last years a number of new protocols have been developed for multimedia applications in the whole OSI layer’s scale. In addition wireless communications and networking fast occupy centre stage in research and development activity in the area of communication networks. In order to better support wireless user the cross layer design paradigm has been proposed. This chapter presents the challenges in design and implementation of cross layer adaptation schemes for multimedia transmission over wireless networks. In addition, this chapter presents the most important parameters and constrains that should be taken into consideration when attempting cross layer adaptation in wireless networks that involves different protocols in the overall protocol stack.

scholarly journals Qos-Aware Memetic-Based Optimal Cross-Layer Resource Allocation in Mixed Lte Networks

2019 ◽  
Vol 8 (3) ◽  
pp. 5930-5938
Keyword(s):  
Resource Allocation ◽  
Communication Networks ◽  
Vital Role ◽  
Cross Layer ◽  
Cross Layer Design ◽  
Data Traffic ◽  
Delay Bound ◽  
Lte Networks ◽  
Resource Allocation Algorithm ◽  
Allocation Algorithm

With the recent advancements and due to the rapid growth of LTE networks, Machine Type Communication (MTC) plays a vital role in the characterization of Internet of Things (IOT).Human-to-Human (H2H) communication and MTC are the two different types of communication handled by LTE-A networks. Due to the co-existence of H2H communication and MTC in LTE-A networks, a serious challenge may arise for scheduling critical MTC with H2H communication networks. To maintain the Quality of Service (QoS) requirements for H2H communication and to provide data traffic for MTC networks LTE networks faces a serious challenge for allocating the resources blocks to the users. In this paper we propose a resource allocation algorithm for optimizing the problems faced by critical MTC and H2H communication networks by maintaining the QoS requirements from a cross-layer design perspective. A novel cross layer memtic based resource allocation algorithm is presented in this paper by investigating the resource allocation problem for different combinations of Channel Quality Indicator (CQI) modes for critical MTCDs and H2H UEs. The Performance and computational complexity of the proposed algorithm in different cases of CQI is measured in terms of cell throughput and probability of delay bound violation (PBDV) is analyzed and the simulations results shows that the proposed system is more efficient compared to other resource allocation algorithms.

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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