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Efficient energy allocation in wireless sensor networks based on non-cooperative game over Gaussian fading channel

conference contribution
posted on 14.05.2020, 00:00 by S Rahman, MD Mamunur Rashid, MZ Alam
In this paper, we solve the energy optimization of Lloyd quantizer (LQ) based Robust iterative water-filling (LQ-RIWF) for a multiple-input multiple-output (MIMO) channel by minimizing the gradient of the local cost function (LCF) of each node by canceling the cross-interference through assigning a nulling set. This technique is known as LCF-LQ-RIWF. Our goal of this work is to design a non-cooperative game for an arbitrary Gaussian channel while guaranteeing convergence into an Nash Equilibrium (NE) state at minimum energy constraint. We first present the LQ-RIWF power allocation in NE state, and then extend the result for LCF-LQ-RIWF with global power constraint. We compare the sum-rate performance of LCF-LQ-RIWF with conventional power allocation techniques. A sufficient condition for the convergence of the proposed algorithm in NE state is derived and verified under the assumption that each node approaches a common water level based on instantaneous channel gain. Based on the theoretical investigation, we have carried out Matlab simulations and the results show that our proposed power allocation provides better performance compare to general sub-optimal techniques. © 2019 IEEE.

History

Start Page

201

End Page

206

Start Date

26/09/2019

Finish Date

28/09/2019

eISSN

2378-2692

ISSN

2378-2668

ISBN-13

9781728149349

Location

Dhaka, Bangladesh

Publisher

ICAEE

Place of Publication

Dhaka, Bangladesh

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

The University of Sydney; Rajshahi University, Bangladesh

Era Eligible

Yes

Name of Conference

5th International Conference on Advances in Electrical Engineering (ICAEE 2019)