Log Likelihood Ratio Based Relay Selection Scheme for Amplify and Forward Relaying with Three State Markov Channel

Sahajwani, Manish; Jain, Alok M.; Gamad, R. S.

doi:10.3390/fi10090087

Cited by 4 publications

(3 citation statements)

References 26 publications

(31 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…By the use of MRC, the received signal-to-noise ratio can be maximized, ie, γ max . Assuming the average energy of the transmitted symbol k to be unity, the instantaneous γ at destination node using MRC can be given as 29 γ max ¼ P a P GSD H SD j j 2 þ P r P GR n D H R n D j j 2 N 0 :…”

Section: Maximal Ratio Combining (Mrc) Technique For Maximizing Sigmentioning

confidence: 99%

A fuzzy decision scheme for relay selection in cooperative wireless sensor network

Jain

Yadav

Verma

2019

Int J Communication

View full text Add to dashboard Cite

In energy-constrained military wireless sensor networks, minimizing the bit error rate (BER) with little compromise on network lifetime is one of the most challenging issues. This paper presents a new relay selection based on fuzzy logic (RSFL) scheme which provides balance between these parameters. The proposed scheme considers node's residual energy and path loss of the relaydestination link as the input parameters for the selection of the relay node.The relay node selection by fuzzy logic is based on prioritizing higher residual energy and minimum path loss. To evaluate the performance on wireless sensor network, we compare the proposed scheme with the three existing relay selection strategies, ie, random, maximum residual energy based relay selection (MaxRes), and minimum energy consumption based relay selection (MinEnCon). The simulation results of the proposed scheme in terms of network lifetime, BER, Network Survivability Index (NSI), and average energy of network nodes have been presented and compared with different relay selection schemes. The simulation results show that the proposed RSFL scheme has the lowest BER, moderate network lifetime, average energy, and NSI. KEYWORDSbit error rate, cooperative communication, network lifetime, Network Survivability Index, random relay selection, residual energy, wireless sensor networks | INTRODUCTIONWireless sensor network is widely used in many applications and services such as industry, mines, health, military, agriculture, Internet of Things (IoT), and home automation. [1][2][3][4] The wireless channel which is used for communication becomes unreliable due to noise, fading, reflections, distortion, and installation of antennas. In order to minimize the effects of these distortions, various solutions have been proposed such as cooperative communication, energy harvesting, multiple antennas etc. The design of wireless sensor network depends on the specific application.In military battle ground, the communication may be interrupted due to nodes are attacked by enemy troops. If some nodes are destroyed by the enemy, then it is very difficult to send important information to the destination node. 5 Maintaining the reliable communication between the nodes is a key preference for the security point of view. In such situation, cooperative communication emerges as a vital solution where noninterrupted, error free data reception, network survivability, and lifetime are the prime issues. These issues can be address by the selection of an appropriate intermediate node in cooperative wireless sensor networks.

show abstract

Section: Maximal Ratio Combining (Mrc) Technique For Maximizing Sigmentioning

confidence: 99%

A fuzzy decision scheme for relay selection in cooperative wireless sensor network

Jain

Yadav

Verma

2019

Int J Communication

View full text Add to dashboard Cite

show abstract

“…Over the past few decades, the two-way relay network (TWRN) [1][2][3][4][5][6][7][8][9][10][11][12][13] has aroused great interest due to the overwhelming development of wireless cellular systems, especially when one-way relaying is of low spectral efficiency because of the half-duplex constraint. In a TWRN system, two source nodes exchange information through a relay node.…”

Section: Introductionmentioning

confidence: 99%

“…In the three-stage scheme, source nodes send their corresponding messages to the relay in the first two stages, respectively. In the third stage, the relay processes received signals with either a decode-and-forward (DF) approach [1][2][3][4][5][6] or an amplify-and-forward approach [7][8][9][10][11][12][13], and then broadcasts back to the source nodes. In [14], Xu et al proposed a multiply-and-forward (MF) approach, in which the relay multiplies the signals sent from different source nodes.…”

Section: Introductionmentioning

confidence: 99%

Analysis and Design of Rateless Two-way Relay Networks Based on a Multiply-and-Forward Scheme

Han

Huang

et al. 2020

Applied Sciences

View full text Add to dashboard Cite

In this paper, we propose a rateless, three-stage, two-way multiply-and-forward (MF) relaying system over the Rayleigh flat fading channel, where two source nodes communicate with each other through a relay node and all nodes work on half-duplex and time-division mode. We thoroughly analyze the signals during all three stages in the proposed MF system and derive the closed-form symbol error rate (SER) expressions for an uncoded MF-two-way relay network (MF-TWRN). Furthermore, we provide the equivalent point-to-point fading channel model, which is employed to carry out the asymptotic performance analysis. We finally put forth an optimization model for the MF-TWRN with fountain codes. Simulation results show that our optimized degree distribution can provide outstanding performance for the MF-TWRN compared to those in the literature.

show abstract

An Adaptive Neuro Fuzzy Inference System (ANFIS) Based Relay Selection Scheme for Cooperative Wireless Sensor Network

Jain

Yadav

Verma

2020

Wireless Pers Commun

View full text Add to dashboard Cite

Log Likelihood Ratio Based Relay Selection Scheme for Amplify and Forward Relaying with Three State Markov Channel

Cited by 4 publications

References 26 publications

A fuzzy decision scheme for relay selection in cooperative wireless sensor network

A fuzzy decision scheme for relay selection in cooperative wireless sensor network

Analysis and Design of Rateless Two-way Relay Networks Based on a Multiply-and-Forward Scheme

An Adaptive Neuro Fuzzy Inference System (ANFIS) Based Relay Selection Scheme for Cooperative Wireless Sensor Network

Contact Info

Product

Resources

About