Next Article in Journal
Basic Test Framework for the Evaluation of Text Line Segmentation and Text Parameter Extraction
Next Article in Special Issue
Modeling of Current Consumption in 802.15.4/ZigBee Sensor Motes
Previous Article in Journal
Estimation of Visual Maps with a Robot Network Equipped with Vision Sensors
Previous Article in Special Issue
Location Estimation in Wireless Sensor Networks Using Spring-Relaxation Technique
Article Menu

Export Article

Open AccessArticle
Sensors 2010, 10(5), 5233-5262; doi:10.3390/s100505233

NEURON: Enabling Autonomicity in Wireless Sensor Networks

National Technical University of Athens, Heroon Polytexneiou, 15773, Zografou, Greece
Greek Research and Technology Network, Av. Mesogion 56, 11527, Athens, Greece
Author to whom correspondence should be addressed.
Received: 1 February 2010 / Revised: 1 April 2010 / Accepted: 14 May 2010 / Published: 25 May 2010


Future Wireless Sensor Networks (WSNs) will be ubiquitous, large-scale networks interconnected with the existing IP infrastructure. Autonomic functionalities have to be designed in order to reduce the complexity of their operation and management, and support the dissemination of knowledge within a WSN. In this paper a novel protocol for energy efficient deployment, clustering and routing in WSNs is proposed that focuses on the incorporation of autonomic functionalities in the existing approaches. The design of the protocol facilitates the design of innovative applications and services that are based on overlay topologies created through cooperation among the sensor nodes.
Keywords: wireless sensor network; autonomicity; energy efficiency; clustering; hierarchical routing; p2p; overlay; NEURON wireless sensor network; autonomicity; energy efficiency; clustering; hierarchical routing; p2p; overlay; NEURON

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Zafeiropoulos, A.; Gouvas, P.; Liakopoulos, A.; Mentzas, G.; Mitrou, N. NEURON: Enabling Autonomicity in Wireless Sensor Networks. Sensors 2010, 10, 5233-5262.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top