@article{MAKHILLJEAS201914217363,
    title = {Dynamic Power Management Through Clustering in Wireless Sensor Network},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {14},
    number = {2},
    pages = {583-588},
    year = {2019},
    issn = {1816-949x},
    doi = {jeasci.2019.583.588},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2019.583.588},
    author = {R. Augustian and},
    keywords = {routing protocol,energy efficient,WSN,power management,techniques,clustering protocols},
    abstract = {The scarcity in the productivity of power leads to management of power consumption in various
fields. This leads to a major research challenge in dynamic power management. Wireless sensor network already
being a highly resource constrained network, necessitates dynamic power management through various
schemes. One such scheme is implementing power management through routing techniques. This study
focuses on power management through clustering methods. The protocol attempts to manage power through
topology control by selecting random percentage of nodes to be in active states initially and later automation
of the selection of nodes through fuzzy logic techniques. The protocol outperforms better than the existing
fuzzy and clustering protocols.}
    }