Wireless Sensor Networks (WSNs) have a broad application range in the area of monitoring and surveillance tasks. Among these tasks, disaster detection or prevention in environmental scenarios is one typical application for WSN. Disasters may for example be forest fires, volcano outbreaks or flood disasters. Here, the monitored events have the potential to destroy the sensor devices themselves. This has implications for the network lifetime, performance and robustness. While a fairly large body of work addressing routing in WSNs exists, little attention has been paid to the aspect of node failures caused by the sensed phenomena themselves. This paper presents a proactive routing method that is aware of the node's destruction threat and adapts the routes accordingly, before node failure results in broken routes, delay and power consuming route re-discovery. The performance of the presented routing scheme is evaluated and compared to OLSR based routing in the same scenario.
Abstract-Wireless Sensor Networks have been deployed for environmental monitoring, home automation, and advanced metering application fields among others. Only few examples of monitoring cargo transports by Wireless Sensor Networks have been reported on. The authors have deployed mobile Wireless Sensor Networks in a cargo container on a trans-atlantic cargo vessel as well as on a lorry to monitor the transport conditions inside the container. This submission reports on the experiences gained from those particular deployments and the open research issues for mobile Wireless Sensor Networks for logistics.
Wireless Sensor Networks (WSNs) are designed for many monitoring and surveillance tasks. A typical scenario category is the use of WSNs for disaster detection in environmental scenarios. In disasters such as forest fires, volcano outbreaks or flood disasters, the monitored events have the potential to destroy the sensor devices themselves. This has implications for the network lifetime, performance and robustness. While a fairly large body of work addressing routing in WSNs exists, little attention has been paid to the aspect of node failures caused by the sensed phenomenon itself. This contribution presents a routing method that is aware of the node's destruction threat and adapts the routes accordingly, before node failure results in broken routes, delay and power consuming route re-discovery. The performance of the presented routing scheme is evaluated and compared to AODV based routing in the same scenario.
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