Green Computing in Sensors-Enabled Internet of Things: Neuro Fuzzy Logic-Based Load Balancing
Energy is a precious resource in the sensors-enabled Internet of Things (IoT). Unequal load on sensors deplete their energy quickly, which may interrupt the operations in the network. Further, a single artificial intelligence technique is not enough to solve the problem of load balancing and minimiz...
Main Authors: | Pankaj Kumar Kashyap, Sushil Kumar, Upasana Dohare, Vinod Kumar, Rupak Kharel |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-03-01
|
Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/8/4/384 |
Similar Items
-
Zakat allocation system using fuzzy logic / Siti Farah Nasehah Mukhlis
by: Siti Farah Nasehah, Mukhlis
Published: (2012) -
Supervised Learning Perspective in Logic Mining
by: Mohd Shareduwan Mohd Kasihmuddin, et al.
Published: (2022-03-01) -
Extremal Optimization Combined with LM Gradient Search for MLP Network Learning
by: Yu-Wang Chen, et al.
Published: (2010-11-01) -
Enabling Green Wireless Sensor Networks: Energy Efficient T-MAC Using Markov Chain Based Optimization
by: Mahendra Ram, et al.
Published: (2019-05-01) -
Stabilization of an Inverted Robot Arm Using Neuro-Controller
by: Fouad F. Khalil, et al.
Published: (2013-08-01)