TY  - CONF
A1  - Thangarasu, G.
A1  - Dominic, P.D.D.
A1  - Subramanian, K.
A1  - Bin Othman, M.
A1  - Sokkalingam, R.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075633347&doi=10.1109%2fSCORED.2019.8896238&partnerID=40&md5=728642f7b8da27de8e13fabc11d1ff3c
EP  - 48
Y1  - 2019///
PB  - Institute of Electrical and Electronics Engineers Inc.
SN  - 9781728126135
N2  - The data exchange volume in Wireless Sensor Networks (WSN) is increasing in recent years due to expansion of the WSN with Internet of Things (IoT). The wireless sensor networks act as a digital skin by providing information from a virtual layer, which can be accessed through any computational system. The availability of imbalanced resources and heterogeneous IoT communication leads to energy consumption constraints. This study proposed a method uses a Chaotic Whale Optimization framework to improve the consumption of energy in integrated WSN-IoT environment operations. The obtained energy optimization results compared with the other conventional methods. The result shows that proposed method obtains improved energy efficiency in integrated WSN-IoT environment. © 2019 IEEE.
N1  - cited By 8; Conference of 17th IEEE Student Conference on Research and Development, SCOReD 2019 ; Conference Date: 15 October 2019 Through 17 October 2019; Conference Code:154444
ID  - scholars11249
SP  - 45
TI  - An Efficient Energy Consumption Technique in Integrated WSN-IoT Environment Operations
KW  - Electronic data interchange; Energy efficiency; Energy utilization; Wireless sensor networks
KW  -  Computational system; Consumption of energy; Conventional methods; Energy consumption constraints; Energy optimization; Internet of Things (IOT); Optimization framework; Virtual layers
KW  -  Internet of things
AV  - none
ER  -