Institut for Forretningsudvikling og Teknologi

Ramjee Prasad

Energy optimization in wireless sensor network through natural science computing: A survey

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Energy optimization in wireless sensor network through natural science computing : A survey. / Wagh, Sanjeev; Prasad, Ramjee.

I: Journal of Green Engineering, Bind 3, Nr. 4, 01.07.2013, s. 383-402.

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

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Wagh, Sanjeev ; Prasad, Ramjee. / Energy optimization in wireless sensor network through natural science computing : A survey. I: Journal of Green Engineering. 2013 ; Bind 3, Nr. 4. s. 383-402.

Bibtex

@article{5bf41dd1f23e4826999bf0e50a2d46fa,
title = "Energy optimization in wireless sensor network through natural science computing: A survey",
abstract = "Nature-inspired computational algorithms are attracting engineering research for artificial intelligence solutions. The Natural science modelling for designing intelligent artefacts gives good results which reliably execute in the system. Some time it is expensive in terms of space and time to create reliable artefacts with conventional process that design the elements like intelligence, controlling operations, process optimization, threat and security, design of the future ideas, and so on. The paper addresses the natural science processes and solution directions. It integrates contrasting techniques of Genetic systems, Neural System, Immune systems and Cellular automata inspired from human organs to give solutions for energy conservation problems inWireless sensor network domain. The non-human aspects of natural science like, swarm optimization, social insects like ant honey bees, wasps, termites and many more are also discussed to solve many real-world problems. The paper gives insights into the creation of innovative improvements over algorithm performance, potential applications on various practical tasks, and combination of different techniques for energy optimization in wireless sensor networks.",
author = "Sanjeev Wagh and Ramjee Prasad",
year = "2013",
month = "7",
day = "1",
doi = "10.13052/jge1904-4720.342",
language = "English",
volume = "3",
pages = "383--402",
journal = "Journal of Green Engineering",
issn = "1904-4720",
publisher = "River Publishers",
number = "4",

}

RIS

TY - JOUR

T1 - Energy optimization in wireless sensor network through natural science computing

T2 - A survey

AU - Wagh, Sanjeev

AU - Prasad, Ramjee

PY - 2013/7/1

Y1 - 2013/7/1

N2 - Nature-inspired computational algorithms are attracting engineering research for artificial intelligence solutions. The Natural science modelling for designing intelligent artefacts gives good results which reliably execute in the system. Some time it is expensive in terms of space and time to create reliable artefacts with conventional process that design the elements like intelligence, controlling operations, process optimization, threat and security, design of the future ideas, and so on. The paper addresses the natural science processes and solution directions. It integrates contrasting techniques of Genetic systems, Neural System, Immune systems and Cellular automata inspired from human organs to give solutions for energy conservation problems inWireless sensor network domain. The non-human aspects of natural science like, swarm optimization, social insects like ant honey bees, wasps, termites and many more are also discussed to solve many real-world problems. The paper gives insights into the creation of innovative improvements over algorithm performance, potential applications on various practical tasks, and combination of different techniques for energy optimization in wireless sensor networks.

AB - Nature-inspired computational algorithms are attracting engineering research for artificial intelligence solutions. The Natural science modelling for designing intelligent artefacts gives good results which reliably execute in the system. Some time it is expensive in terms of space and time to create reliable artefacts with conventional process that design the elements like intelligence, controlling operations, process optimization, threat and security, design of the future ideas, and so on. The paper addresses the natural science processes and solution directions. It integrates contrasting techniques of Genetic systems, Neural System, Immune systems and Cellular automata inspired from human organs to give solutions for energy conservation problems inWireless sensor network domain. The non-human aspects of natural science like, swarm optimization, social insects like ant honey bees, wasps, termites and many more are also discussed to solve many real-world problems. The paper gives insights into the creation of innovative improvements over algorithm performance, potential applications on various practical tasks, and combination of different techniques for energy optimization in wireless sensor networks.

U2 - 10.13052/jge1904-4720.342

DO - 10.13052/jge1904-4720.342

M3 - Journal article

AN - SCOPUS:84888028728

VL - 3

SP - 383

EP - 402

JO - Journal of Green Engineering

JF - Journal of Green Engineering

SN - 1904-4720

IS - 4

ER -