Trio: enabling sustainable and scalable outdoor wireless sensor network deployments
Proceedings of the 5th international conference on Information processing in sensor networks
Deploying wireless sensors to achieve both coverage and connectivity
Proceedings of the 7th ACM international symposium on Mobile ad hoc networking and computing
Towards 100% reliability in wireless monitoring networks
Proceedings of the 3rd ACM international workshop on Performance evaluation of wireless ad hoc, sensor and ubiquitous networks
Chowkidar: Reliable and scalable health monitoring for wireless sensor network testbeds
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Trail: A distance-sensitive sensor network service for distributed object tracking
ACM Transactions on Sensor Networks (TOSN)
Energy and delay optimized contention for wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Wireless sensor network operating systems: a survey
International Journal of Sensor Networks
Stabilizing health monitoring for wireless sensor networks
SSS'06 Proceedings of the 8th international conference on Stabilization, safety, and security of distributed systems
Taming uncertainties in real-time routing for wireless networked sensing and control
Proceedings of the thirteenth ACM international symposium on Mobile Ad Hoc Networking and Computing
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Recent experiments have taken steps towards realizing the vision of extremely large wireless sensor networks, the largest of these being ExScal, in which we deployed about 1200 nodes over a 1.3km by 300m open area. Such experiments remain especially challenging because of: (a) prior observations of failure of sensor network protocols to scale, due to network faults and their spatial and temporal variability, (b) complexity of protocol interaction, (c) lack of sufficient data about faults and variability, even at smaller scales, and (d) current inadequacy of simulation and analytical tools to predict sensor network protocol behavior.In this paper, we present detailed data about faults, both anticipated and unanticipated, in ExScal. We also evaluate the impact of these faults on ExScal as well as the design principles that enabled it to satisfy its application requirements despite these faults. We describe the important lessons learnt from the ExScal experiment and suggest services and tools as a further aid to future large scale network deployments.