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.

scholarly journals Power Optimization for Aerial Intelligent Reflecting Surface-Aided Cell-Free Massive MIMO-Based Wireless Sensor Network

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Tao Zhou ◽  
Kui Xu ◽  
Chunguo Li ◽  
Zhexian Shen
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Multiple Input Multiple Output ◽  
Tall Buildings ◽  
Wireless Sensor ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Iterative Optimization Algorithm ◽  
Reflecting Surfaces ◽  
Reflecting Surface

Intelligent reflecting surfaces (IRSs) have significant advantages in enhancing the coverage and reducing the deployment cost of wireless networks. This paper studies an aerial IRS- (AIRS-) enhanced cell-free massive multiple-input multiple-output- (MIMO-) based wireless sensor network (WSN) in which multiple access points (APs) serve several sensor users (SUs). Direct links between the APs and SUs are blocked due to occlusion by tall buildings. Hence, we deploy an AIRS to improve the communication quality of the SUs. Our goal is to minimize the total transmit power of all APs under a given minimum signal-to-interference-plus-noise ratio (SINR) requirement. We propose a joint iterative optimization algorithm by designing an active beamforming mechanism at each AP and a passive beamforming mechanism at the AIRS to solve this problem. Simulation results illustrate the good performance of the proposed method.

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.

Joint Scheduling and Precoding Based on SLNR Criteria in MU-MIMO System

2014 ◽  
Vol 668-669 ◽  
pp. 1273-1277
Author(s):  
Yang Liu ◽  
Jun Xuan Wang ◽  
Peng Wang ◽  
Ren Kai Yu
Keyword(s):  
Mimo System ◽  
Multiple Input Multiple Output ◽  
Paper Analysis ◽  
Cross Layer ◽  
Cross Layer Design ◽  
User Scheduling ◽  
Scheduling Scheme ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Lower Complexity

The user scheduling and precoding schemes in Multi-User Multiple Input Multiple Output (MU-MIMO) system have the problem of high complexity and the performance of traditional criteria is not good. This paper analysis the advantages of Signal to Leakage plus Noise Ratio (SLNR) criteria firstly, then propose a cross-layer design of user scheduling and precoding scheme based on SLNR criteria. The design only uses SLNR criteria and includes an improved SLNR user scheduling scheme which is accomplished by iteration procedure. Numerical results verify the improved user scheduling scheme can improve the performance of sum capacity and average BER and the cross-layer design has lower complexity.

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