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ENERGY EFFICIENT SLEEP WAKEUP SCHEDULING METHOD FOR P-COVERAGE AND Q-CONNECTIVITY MODEL IN TARGET BASED WIRELESS SENSOR NETWORKS

JUTI: Jurnal Ilmiah Teknologi Informasi · Vol. 20 No. 1 (2022) · pp. 14–22

DOI
10.12962/j24068535.v19i3.a1088
ISSN
2406-8535, 1412-6389
Published
2022-01-31
Publisher
Institut Teknologi Sepuluh Nopember
Language
eng

Abstract

Energy limitations are the problem that gets the most attention in the term of Wireless Sensor Networks (WSN). Sleep wakeup scheduling method is one of the most efficient techniques to increase sensor node operational time on WSN. However, in the target-based WSN environment with p-coverage and q-connectivity models, the use of wake-up scheduling has to consider the constraints on the number of connectivity on the sensor and coverage on the target. Genetic Algorithm is a solution to the problem of sleep-wake scheduling with multi-objective problems. This study proposes a new method of sleep wakeup scheduling based on Genetic Algorithm for energy efficiency in target-based WSN with p-coverage and q-connectivity models. This new method uses the sensor range, connectivity range and energy as an objective function of the fitness function in the Genetic Algorithm. With the presence of energy as a factor of the objective function can increase energy efficiency in target-based WSN with p-coverage and q-connectivity models.

Collaboration network of the authors

23 authors · 43 co-authorship links · 2 across different organisations

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  • Institut Teknologi Sepuluh Nopember
  • Universitas Muhammadiyah Banjarmasin
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Supeno DjanaliInstitut Teknologi Sepuluh Nopember5
Waskitho WibisonoInstitut Teknologi Sepuluh Nopember3
Royyana Muslim IjtihadieInstitut Teknologi Sepuluh Nopember2
Indera Zainul MuttaqienInstitut Teknologi Sepuluh Nopember1
Asad ArismadhaniAffiliation unknown1
I Nyoman Trisna WirawanInstitut Teknologi Sepuluh Nopember1
Lidya Amalia RahmaniaAffiliation unknown1
Muhammad Ziki ElfirmanUniversitas Muhammadiyah Banjarmasin1
Johan Ericka Wahyu PrakasaInstitut Teknologi Sepuluh Nopember1
Mohamad DimyatiInstitut Teknologi Sepuluh Nopember1
Rachmat RachmatInstitut Teknologi Sepuluh Nopember1
Nurdiansyah RezkinandaInstitut Teknologi Sepuluh Nopember1
Pascal ManirihoInstitut Teknologi Sepuluh Nopember1
Maurice NtahobariInstitut Teknologi Sepuluh Nopember1
Faishal Halim SaputraInstitut Teknologi Sepuluh Nopember1
Rizky Fenaldo MaulanaInstitut Teknologi Sepuluh Nopember1
Kharisma Monika Dian PertiwiInstitut Teknologi Sepuluh Nopember1
Ary Mazharuddin ShiddiqiInstitut Teknologi Sepuluh Nopember1
Wahyu SuadiInstitut Teknologi Sepuluh Nopember1
Achmadaniar Anindya RhosadyInstitut Teknologi Sepuluh Nopember1
Lucas SusantoInstitut Teknologi Sepuluh Nopember1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://juti.if.its.ac.id/index.php/juti/oai, first harvested 26 Okt 2026, last seen 26 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">ENERGY EFFICIENT SLEEP WAKEUP SCHEDULING METHOD FOR P-COVERAGE AND Q-CONNECTIVITY MODEL IN TARGET BASED WIRELESS SENSOR NETWORKS</dc:title>
	<dc:creator xml:lang="en">Rosyadi, Fuad Dary</dc:creator>
	<dc:creator xml:lang="en">Anggoro, Radityo</dc:creator>
	<dc:description xml:lang="en">Energy limitations are the problem that gets the most attention in the term of Wireless Sensor Networks (WSN). Sleep wakeup scheduling method is one of the most efficient techniques to increase sensor node operational time on WSN. However, in the target-based WSN environment with p-coverage and q-connectivity models, the use of wake-up scheduling has to consider the constraints on the number of connectivity on the sensor and coverage on the target. Genetic Algorithm is a solution to the problem of sleep-wake scheduling with multi-objective problems. This study proposes a new method of sleep wakeup scheduling based on Genetic Algorithm for energy efficiency in target-based WSN with p-coverage and q-connectivity models. This new method uses the sensor range, connectivity range and energy as an objective function of the fitness function in the Genetic Algorithm. With the presence of energy as a factor of the objective function can increase energy efficiency in target-based WSN with p-coverage and q-connectivity models.</dc:description>
	<dc:publisher xml:lang="en">Institut Teknologi Sepuluh Nopember</dc:publisher>
	<dc:date>2022-01-31</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://juti.if.its.ac.id/index.php/juti/article/view/1088</dc:identifier>
	<dc:identifier>10.12962/j24068535.v19i3.a1088</dc:identifier>
	<dc:source xml:lang="en">JUTI: Jurnal Ilmiah Teknologi Informasi; Vol. 20, No. 1, January 2022; 14-22</dc:source>
	<dc:source>2406-8535</dc:source>
	<dc:source>1412-6389</dc:source>
	<dc:source>10.12962/j24068535.v19i3</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://juti.if.its.ac.id/index.php/juti/article/view/1088/471</dc:relation>
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