Cross layer design of uplink multi-antenna wireless systems with outdated CSI

2006 ◽  
Vol 5 (6) ◽  
pp. 1250-1253 ◽  
Author(s):  
V.K.N. Lau ◽  
Meilong Jiang ◽  
Youjian Liu
Keyword(s):  
Wireless Systems ◽  
Cross Layer ◽  
Cross Layer Design ◽  
Outdated Csi

Cross layer security solution for secure communication of sensors in Wireless Sensor Networks

2020 ◽  
Vol 01 ◽  
Author(s):  
Rakesh Saini ◽  
Naveen Kumar
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Systems ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Cross Layer ◽  
Cross Layer Design ◽  
Security Model ◽  
Multihop Wireless

: Safe direction-finding is extremely necessary for multihop wireless systems such as Wireless Sensor Networks. Multihop wireless systems are more defenseless to safety outbreaks as associated to single stage wireless networks. Cross layer design production a precise significant character for wireless sensor network submissions. Advanced security is actual significant for the achievement of announcement among sensor nodes in wireless sensor network because the numbers composed is regularly slight and the network is mostly susceptible. Numerous Security methods have been suggested to deliver safety resolutions beside numerous extortions to the Cross-layer modification techniques in Wireless sensor network. In this paper we overview the existing schemes for the security of cross-layer design in wireless sensor network. Proposed Security model will provide more security between sensor nodes and base station in wireless sensor network. Security is important for the success of the wireless sensor network because the data collected are often sensitive and the network is particularly vulnerable. In the cross-layer design, constraints are substituted between changed layers to protection well-organized use of energy. In this paper, we propose a secure security model that is based on cross layer design. It uses a cross layer optimization Mechanism. Reproduction consequences confirmation that our proposed safety model can achieve better in many situations and in unfriendly violence-disposed to situation.

scholarly journals Cross-Layer Design for OFDMA Wireless Systems With Heterogeneous Delay Requirements

2007 ◽  
Vol 6 (8) ◽  
pp. 2872-2880 ◽  
Author(s):  
David Wing Hui ◽  
Vincent Nang Lau ◽  
Wong Lam
Keyword(s):  
Wireless Systems ◽  
Cross Layer ◽  
Cross Layer Design

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

Prediction-Based Cross-Layer Resource Allocation for Wireless Multi-Hop Networks with Outdated CSI

2014 ◽  
Vol E97.B (4) ◽  
pp. 746-754 ◽  
Author(s):  
Wei FENG ◽  
Suili FENG ◽  
Yuehua DING ◽  
Yongzhong ZHANG
Keyword(s):  
Resource Allocation ◽  
Cross Layer ◽  
Outdated Csi

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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