Hazard monitoring for visually impaired people enabled by wireless sensor networking technology

Authors:
Aristides Mpitziopoulos;Charalampos Konstantopoulos;Damianos Gavalas;Grammati Pantziou
Affiliations:
University of the Aegean, Lesvos, Greece;Research Academic Computer Technology Institute, Patras, Greece;University of the Aegean, Lesvos, Greece;Institution of Athens, Athens, Greece
Venue:
Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments
Year:
2008

Citing 7
Cited 1

Understanding Code Mobility

IEEE Transactions on Software Engineering
The People Sensor: A Mobility Aid for the Visually Impaired

ISWC '98 Proceedings of the 2nd IEEE International Symposium on Wearable Computers
Drishti: An Integrated Indoor/Outdoor Blind Navigation System and Service

PERCOM '04 Proceedings of the Second IEEE International Conference on Pervasive Computing and Communications (PerCom'04)
Wireless Sensor Networks: An Information Processing Approach

Wireless Sensor Networks: An Information Processing Approach
On Computing Mobile Agent Routes for Data Fusion in Distributed Sensor Networks

IEEE Transactions on Knowledge and Data Engineering
Mobile software agents: an overview

IEEE Communications Magazine
A survey on sensor networks

IEEE Communications Magazine

A pervasive assistive environment for visually impaired people using wireless sensor network infrastructure

Journal of Network and Computer Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

Wireless Sensor Networks (WSNs) has been identified as a promising technology for supporting assistive environments. This article introduces PROTECT, a system that employs autonomous software objects referred to as Mobile Agents (MAs) able of locating and informing visually impaired persons for potential risks. PROTECT utilizes a 3-tier architecture where the first tier comprises a Base Station (BS), the second tier mobile sinks (carried by blinds on their sticks) and the third tier stationary sensor nodes. This WSN is deployed in an urban environment. In the event of an alarm issued by a sensor node, the BS launches a number of MAs supplied with a near-optimal itineraries that visit the nodes in the alarm's surrounding area and notify visually impaired people for potential hazards in their proximity. In the event of communication problems (e.g. failure of some sensor nodes) PROTECT modifies the itineraries of the MAs to bypass the problematic areas avoiding disruption of the data collection process from working sensors. Simulation results confirm the high effectiveness of our proposed scheme in WSNs used in assistive environments and its performance gain over alternative approaches in data fusion tasks.