Energy-efficient Sensor-based EEG Features’ Extraction for Epilepsy Detection

Energy-Efficient Sensor Networks for Detection Applications

Game Theory based Energy Efficient Hybrid MAC Protocol for Lifetime Enhancement of Wireless Sensor Network

Wireless Sensor Networks (WSNs) comprising of tiny, power-constrained nodes are getting very popular due to their potential uses in wide applications like monitoring of environmental conditions, various military and civilian applications. The critical issue in the node is energy consumption since it is operated using battery, therefore its lifetime should be maximized for effective utilization ...

EEQR: An Energy Efficient Query-Based Routing Protocol for Wireless Sensor Networks

Routing in Wireless Sensor Networks (WSNs) is a very challenging task due to the large number of nodes, their mobility and lack of proper infrastructure. Since the sensors are battery powered devices, energy efficiency is considered as one of the main factors in designing routing protocols in WSNs. Most of energy-aware routing protocols are mere energy savers that attempt to decrease the energy...

ANN based Epilepsy detection using EEG

ABSTRACT Brain is the most complex organ amongst all the systems in human body. ElectroEncephaloGraph EEG is a technique which is used to identify the neurological disorder of brain. Epilepsy is one of the most common neurological disorders of brain. Epilepsy needs to be detected efficiently using required EEG feature extraction such as: variance, power spectral density, energy and entropy. Thi...

Toward an energy efficient PKC-based key management system for wireless sensor networks

Due to wireless nature and hostile environment, providing of security is a critical and vital task in wireless sensor networks (WSNs). It is known that key management is an integral part of a secure network. Unfortunately, in most of the previous methods, security is compromised in favor of reducing energy consumption. Consequently, they lack perfect resilience and are not fit for applications ...