NDLI: Resilient data gathering and communication algorithms for emergency scenarios

Content Provider	Springer Nature Link
Author	Munaretto, Daniele An, Chunlei Widmer, Joerg Timm Giel, Andreas
Copyright Year	2010
Abstract	A typical application field of Wireless Sensor Networks (WSNs) is the collection of environmental data, which is sent to a base station. Routing protocols are needed to efficiently direct the information flows to the base station. Since sensor nodes have strict energy constraints, data gathering and communication schemes for WSNs need to be designed for an efficient utilization of the available resources. An emergency management scenario is investigated, where a sensor network is deployed as virtual lifeline for fire fighters entering a building. Besides of supporting their navigation, the virtual lifeline is also used for two further purposes. First it enables the exchange of short voice messages between fire fighter and command post. For this, a fast and reliable routing protocol (EMRO) has been developed based on a broadcasting scheme. Second, measuring data, like temperature and gas, in the environment and informing fire fighters and command post about it, is of high importance. For this purpose a network coding based data gathering algorithm has been designed. The feasibility of simultaneously using the virtual lifeline for data gathering and communication and thus the coexistence of a classical routing protocol with a network coding scheme is studied in this paper by means of simulation and real experiments. The resilience to packet loss and node failure, as well as the transmission delay are investigated by means of short voice messages for the communication part and temperature readings for data gathering.
Starting Page	317
Ending Page	327
Page Count	11
File Format	PDF
ISSN	10184864
Journal	Telecommunication Systems
Volume Number	48
Issue Number	3-4
e-ISSN	15729451
Language	English
Publisher	Springer US
Publisher Date	2010-05-26
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Wireless sensor networks Emergency communications Data gathering Network coding Probability Theory and Stochastic Processes Computer Communication Networks Business Information Systems Artificial Intelligence (incl. Robotics)
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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