TY  - JOUR
T1  - Dynamic Power Management Through Clustering in Wireless Sensor Network
AU - Isaac, R. Augustian AU - Lakshmi, M. 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 2
SP  - 583
EP  - 588
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.583.588
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.583.588
KW  - routing protocol
KW  -energy efficient
KW  -WSN
KW  -power management
KW  -techniques
KW  -clustering protocols
AB  - 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.
ER  -