Bacterial foraging-based power allocation for cooperative wireless sensor networks

Mohammad Abdul Azim; Zeyar Aung; Mario E. Rivero-Angeles

doi:10.1007/978-3-662-46578-3_9

Bacterial foraging-based power allocation for cooperative wireless sensor networks

Mohammad Abdul Azim, Zeyar Aung, Mario E. Rivero-Angeles

Electrical Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

Cooperative communication becomes a popular area of research due to its strength and wide application scope in wireless networking and communications. This technique improves the communication performance largely in capacity enhancement, energy-efficiency, timeliness and contention. Power allocation plays an important role in the cooperative communication paradigm to get the desired performance improvements in the aforementioned aspects. In this paper, we present a bacterial foraging optimization algorithm (BFOA)-based power allocation method for cooperative communications in wireless systems. Comparative measures with non-cooperative approaches are made to justify our proposed method.

Original language	British English
Pages (from-to)	67-76
Number of pages	10
Journal	Lecture Notes in Electrical Engineering
Volume	339
DOIs	https://doi.org/10.1007/978-3-662-46578-3_9
State	Published - 2015

Keywords

Bacterial Foraging
Constrained Optimization
Cooperative Communication
Signal Combining
Wireless Communications

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/978-3-662-46578-3_9

Cite this

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title = "Bacterial foraging-based power allocation for cooperative wireless sensor networks",

abstract = "Cooperative communication becomes a popular area of research due to its strength and wide application scope in wireless networking and communications. This technique improves the communication performance largely in capacity enhancement, energy-efficiency, timeliness and contention. Power allocation plays an important role in the cooperative communication paradigm to get the desired performance improvements in the aforementioned aspects. In this paper, we present a bacterial foraging optimization algorithm (BFOA)-based power allocation method for cooperative communications in wireless systems. Comparative measures with non-cooperative approaches are made to justify our proposed method.",

keywords = "Bacterial Foraging, Constrained Optimization, Cooperative Communication, Signal Combining, Wireless Communications",

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T1 - Bacterial foraging-based power allocation for cooperative wireless sensor networks

AU - Azim, Mohammad Abdul

AU - Aung, Zeyar

AU - Rivero-Angeles, Mario E.

N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 2015.

PY - 2015

Y1 - 2015

N2 - Cooperative communication becomes a popular area of research due to its strength and wide application scope in wireless networking and communications. This technique improves the communication performance largely in capacity enhancement, energy-efficiency, timeliness and contention. Power allocation plays an important role in the cooperative communication paradigm to get the desired performance improvements in the aforementioned aspects. In this paper, we present a bacterial foraging optimization algorithm (BFOA)-based power allocation method for cooperative communications in wireless systems. Comparative measures with non-cooperative approaches are made to justify our proposed method.

AB - Cooperative communication becomes a popular area of research due to its strength and wide application scope in wireless networking and communications. This technique improves the communication performance largely in capacity enhancement, energy-efficiency, timeliness and contention. Power allocation plays an important role in the cooperative communication paradigm to get the desired performance improvements in the aforementioned aspects. In this paper, we present a bacterial foraging optimization algorithm (BFOA)-based power allocation method for cooperative communications in wireless systems. Comparative measures with non-cooperative approaches are made to justify our proposed method.

KW - Bacterial Foraging

KW - Constrained Optimization

KW - Cooperative Communication

KW - Signal Combining

KW - Wireless Communications

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DO - 10.1007/978-3-662-46578-3_9

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AN - SCOPUS:84923167072

SN - 1876-1100

VL - 339

SP - 67

EP - 76

JO - Lecture Notes in Electrical Engineering

JF - Lecture Notes in Electrical Engineering

ER -

Bacterial foraging-based power allocation for cooperative wireless sensor networks

Abstract

Keywords

UN SDGs

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