Introduction to Grey system theory
The Journal of Grey System
Negotiation-based protocols for disseminating information in wireless sensor networks
Wireless Networks - Selected Papers from Mobicom'99
A taxonomy of wireless micro-sensor network models
ACM SIGMOBILE Mobile Computing and Communications Review
Energy-aware management for cluster-based sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Energy conservation in wireless sensor networks: A survey
Ad Hoc Networks
Grey system theory-based models in time series prediction
Expert Systems with Applications: An International Journal
The design space of wireless sensor networks
IEEE Wireless Communications
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
On energy provisioning and relay node placement for wireless sensor networks
IEEE Transactions on Wireless Communications
A new model for performance evaluation of denoising algorithms based on image quality assessment
Proceedings of the CUBE International Information Technology Conference
A log-ratio based unsharp masking (UM) approach for enhancement of digital mammograms
Proceedings of the CUBE International Information Technology Conference
A comparative evaluation of various de-speckling algorithms for medical images
Proceedings of the CUBE International Information Technology Conference
Biodiesel Production from Algal Blooms: A Step towards Renewable Energy Generation & Measurement
International Journal of Measurement Technologies and Instrumentation Engineering
A Non-Linear Approach to ECG Signal Processing using Morphological Filters
International Journal of Measurement Technologies and Instrumentation Engineering
Hi-index | 0.00 |
Wireless Sensor Networks WSNs consists of number of tiny, low cost and low power sensor nodes to monitor some physical phenomenon like temperature, pressure, vibration, seismic events, landslide detection etc. The communication subsystem in WSNs is primarily responsible for energy consumption. This becomes a constraint in these N/Ws owing to the usage of non-rechargeable battery having a limited power supply. Hence, the present work incorporates a time series prediction based data reduction scheme to develop an energy efficient routing protocol for minimizing energy consumption of WSNs. In this paper, three approaches have been devised involving energy efficient cluster based routing protocol with residual energy and distance based cluster head selection method. The cluster formation in the proposed approaches is different from Low Energy Adaptive Clustering Hierarchy LEACH routing protocol as its clusters will be fixed throughout the life of WSN. This leads to a reduction in overheads during cluster formation. Further, inter-cluster and intra-cluster transmissions are also minimized which results in an overall reduction in energy consumption of WSNs.