A wireless sensor network For structural monitoring
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Congestion control and fairness for many-to-one routing in sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Global Clock Synchronization in Sensor Networks
IEEE Transactions on Computers
Localized algorithm for aggregate fairness in wireless sensor networks
Proceedings of the 12th annual international conference on Mobile computing and networking
Funneling-MAC: a localized, sink-oriented MAC for boosting fidelity in sensor networks
Proceedings of the 4th international conference on Embedded networked sensor systems
Health monitoring of civil infrastructures using wireless sensor networks
Proceedings of the 6th international conference on Information processing in sensor networks
Dozer: ultra-low power data gathering in sensor networks
Proceedings of the 6th international conference on Information processing in sensor networks
Rendezvous design algorithms for wireless sensor networks with a mobile base station
Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing
Brimon: a sensor network system for railway bridge monitoring
Proceedings of the 6th international conference on Mobile systems, applications, and services
Predictable performance optimization for wireless networks
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
A Holistic Approach to Decentralized Structural Damage Localization Using Wireless Sensor Networks
RTSS '08 Proceedings of the 2008 Real-Time Systems Symposium
Monitoring heritage buildings with wireless sensor networks: The Torre Aquila deployment
IPSN '09 Proceedings of the 2009 International Conference on Information Processing in Sensor Networks
Traffic-aware relay node deployment for data collection in wireless sensor networks
SECON'09 Proceedings of the 6th Annual IEEE communications society conference on Sensor, Mesh and Ad Hoc Communications and Networks
Using mobile robots to harvest data from sensor fields
IEEE Wireless Communications
Efficient data collection for wireless networks: delay and energy tradeoffs
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
High quality sensor placement for SHM systems: refocusing on application demands
INFOCOM'10 Proceedings of the 29th conference on Information communications
A case against routing-integrated time synchronization
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
Multiple controlled mobile elements (data mules) for data collection in sensor networks
DCOSS'05 Proceedings of the First IEEE international conference on Distributed Computing in Sensor Systems
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Recently wireless sensor networks have been widely suggested for Structural Health Monitoring. In such applications, diverse sensor nodes are deployed in a building structure, collecting ambient data such as temperature and strain from various locations and reporting them to a central base station for processing and diagnosing. For today's high-rise structures (e.g., the Guangzhou New TV Tower, a project that we have participated in, peaks at 600m above ground), the extensive vertical dimension creates enormous challenges toward sensor data collection, beyond those addressed in state-of-the-art motelike systems. For example, with a straightforward base station placement, a huge amount of data will accumulate as being relayed to the base station. As such, the sensor nodes close to the base station would quickly run out of energy for relaying the traffic. The accumulated traffic would also saturate the wireless medium, introducing significant interferences and collisions. The extensive height of these building structures, however, make elevators an indispensable component. This motivates us to develop EleSense, a novel high-rise structure monitoring framework that explores using elevators. In EleSense, an elevator is attached with the base station and collects data when it moves across different floors to serve passengers, which can effectively reduce the traffic accumulation and the collection delay. To maximally exploit the benefit, we take a unique angle with the cross-layer design. We present an abstraction of the high-rise structure monitoring problem that exploits elevators, and model it as a joint optimization across link scheduling, packet routing and end-to-end delivery. We propose a centralized algorithm to solve it optimally. We further propose a distributed implementation to accommodate the hardware capability of a sensor node and address other practical issues. We evaluate EleSense through ns-2 simulations and with real configurations from the Guangzhou New TV Tower. The results show that EleSense has a throughput gain of 30.4% to 200.6% over the case without elevators. We also observe a gain of 40.5% to 127.5% over a straightforward 802.11 MAC scheme without the cross-layer optimization. Moreover, EleSense can significantly reduce the communication costs while maintaining excellent fairness with reliable data delivering.