Calls for papers

 

International Journal of Sensor Networks

 

Special Issue on: "Environmental Sensor Networks"

Guest Editors:
Prof. Christos Douligeris, University of Piraeus, Greece
Prof. Theodore Tsiligiridis, Agricultural University of Athens, Greece

An Environmental Sensor Network (ESN) comprises of an array of sensors that gathers data autonomously and forwards them automatically to a central server. What differentiates modern sensor networks from previous techniques is an emphasis on intelligence in the sensors as well as in the data network.

Modern sensor networks also typically publish the data on the server on the World Wide Web and allow real-time access to the data. These networks require a unique combination of technological and environmental understanding, and have the potential to create a revolution in environmental monitoring. Different types of data are collected by the sensor nodes. These data can be in different forms: digital and analogue, spatial and temporal, database or image, fixed or moving. At the server level, the data can be visualised and analysed within a Geographic Information System (GIS), combined with a satellite image and/or map, and published via the Web to give researchers seamless access to information.

ESNs have the capability of capturing local and broadly-dispersed information simultaneously; they also have the capacity to respond to sudden changes in a location by triggering observations selectively across the network while simultaneously updating the underlying complex system model and/or reconfiguring the network.

Data gathered by ESNs pose unique challenges for environmental modelling, as a complex system is being observed by a dynamical network. These challenges lie in the fields of computer science (from self organising networks to algorithm analysis), mathematics (from computational geometry to data fusion and robotics), and statistics (from sampling design to prediction and prediction uncertainty).

This special issue aims to bring together an interdisciplinary group of scientists with the objective of formulating and addressing optimisation of data gathering, data analysis, data coverage, modelling and inference when the network itself is a dynamic system of self organising nodes. This collaborative effort will include both development of new computational, mathematical, and statistical tools as well as specific applications of existing ESNs designed to study environmental interactions. We particularly encourage papers that describe experiences drawn from real sensor network deployments, or large-scale simulation experiments, taken from a variety of environmental fields, including, for example, bio-geo-science, agriculture, atmospheric and ocean sciences.

Subject Coverage
Original contributions on novel, robust, user and environment constraint-aware, interoperable and effective solutions to existing problems within the aforementioned context are invited. Authors are requested to submit manuscripts including, but not limited to, the following topics:

• Environmental modelling and sensing technologies
• Environmental systems and embedded intelligence
• Environmental applications and ambient intelligence
• Motion and environmental monitoring
• Measurements and detection
• Remote management
• Miniaturisation
• Embedded ESN technology
• Enabling control applications over ESNS
• Visualisation tools for ESNS
• Self-organised ESNS
• Acoustic and video enabled ESNS
• Wireless networks of low power imaging sensors
• Indoor/outdoor biosensor networks
• Wireless sensing
• Low power sensing
• Pervasive sensing
• Localisation
• Context/location aware services
• Semantics and ontologies
• Middleware interfaces
• Agents and web services
• Security

Notes for Prospective Authors

Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere

All papers are refereed through a peer review process. A guide for authors, sample copies and other relevant information for submitting papers are available on the Author Guidelines page

Important Dates

Manuscripts submission: 20 December 2007

Notification of Acceptance: 31 January 2008

Final Submission: 1 March 2008