Improving Scalability and Balancing the Network Load Using Adaptive Multiparent Crossover Method in Wireless Sensor Networks

Autor:	Basil Xavier, R. Jennifer Eunice, J. Andrew, Isaac Joel Raj, Shibin David
Rok vydání:	2020
Předmět:	Computational Mathematics Computer science business.industry Crossover Scalability General Materials Science General Chemistry Electrical and Electronic Engineering Condensed Matter Physics business Wireless sensor network Computer network
Zdroj:	Journal of Computational and Theoretical Nanoscience. 17:2415-2420
ISSN:	1546-1955
DOI:	10.1166/jctn.2020.8906
Popis:	Wireless sensor network comprises of scattered sensors to sense, monitor and aggregate the sensed information. The major issue in a wireless sensor network is to balance network load and to maintain less energy consumption where multi parent crossover method is considered. Multiparent cross over method will generate offspring from parent and aims at managing the load. In this paper a comparative study of different algorithms is done where the load balancing and energy consumption issue has been resolved.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ca922f85e764b59a40850e7589f852e2 https://doi.org/10.1166/jctn.2020.8906 Zobrazit plný text záznamu