Directed diffusion: a scalable and robust communication paradigm for sensor networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
The cougar approach to in-network query processing in sensor networks
ACM SIGMOD Record
Observation of changing information sources
Observation of changing information sources
TAG: a Tiny AGgregation service for Ad-Hoc sensor networks
OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
REED: robust, efficient filtering and event detection in sensor networks
VLDB '05 Proceedings of the 31st international conference on Very large data bases
A Better-Than-Greedy Approximation Algorithm for the Minimum Set Cover Problem
SIAM Journal on Computing
Ef.cient Continuous Mapping in Sensor Networks Using Isolines
MOBIQUITOUS '05 Proceedings of the The Second Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services
Approximate Data Collection in Sensor Networks using Probabilistic Models
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Constraint chaining: on energy-efficient continuous monitoring in sensor networks
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Exploring Data Streams with Nonparametric Estimators
SSDBM '06 Proceedings of the 18th International Conference on Scientific and Statistical Database Management
Introduction to Probability Models, Ninth Edition
Introduction to Probability Models, Ninth Edition
WICON '06 Proceedings of the 2nd annual international workshop on Wireless internet
Mobile Event Monitoring Protocol for Wireless Sensor Networks
AINAW '07 Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops - Volume 01
Fidelity and yield in a volcano monitoring sensor network
OSDI '06 Proceedings of the 7th USENIX Symposium on Operating Systems Design and Implementation - Volume 7
Non-Threshold based Event Detection for 3D Environment Monitoring in Sensor Networks
ICDCS '07 Proceedings of the 27th International Conference on Distributed Computing Systems
The BikeNet mobile sensing system for cyclist experience mapping
Proceedings of the 5th international conference on Embedded networked sensor systems
Urban sensing: out of the woods
Communications of the ACM - Urban sensing: out of the woods
Anonysense: privacy-aware people-centric sensing
Proceedings of the 6th international conference on Mobile systems, applications, and services
Proceedings of the 6th international conference on Mobile systems, applications, and services
Urban sensing systems: opportunistic or participatory?
Proceedings of the 9th workshop on Mobile computing systems and applications
People-centric mobile sensing networks
People-centric mobile sensing networks
Escalation: complex event detection in wireless sensor networks
EuroSSC'07 Proceedings of the 2nd European conference on Smart sensing and context
Markov-optimal sensing policy for user state estimation in mobile devices
Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks
Complex Event Detection in Extremely Resource-Constrained Wireless Sensor Networks
Mobile Networks and Applications
KNOWME: An Energy-Efficient Multimodal Body Area Network for Physical Activity Monitoring
ACM Transactions on Embedded Computing Systems (TECS) - Special Section on CAPA'09, Special Section on WHS'09, and Special Section VCPSS' 09
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In people-centric opportunistic sensing, people offer their mobile nodes (such as smart phones) as platforms for collecting sensor data. A sensing application distributes sensing 'tasks,' which specify what sensor data to collect and under what conditions to report the data back to the application. To perform a task, mobile nodes may use on-board sensors, a body-area network of personal sensors, or sensors from neighboring nodes that volunteer to contribute their sensing resources. In all three cases, continuous sensor monitoring can drain a node's battery. We propose DEAMON (Distributed Energy-Aware MONitoring), an energy-efficient distributed algorithm for long-term sensor monitoring. Our approach assumes only that mobile nodes are tasked to report sensor data under conditions specified by a Boolean expression, and that a network of nearby sensor nodes contribute to monitoring subsets of the task's sensors. Our algorithm to select sensor nodes and to monitor the sensing condition couserves energy of all nodes by limiting sensing and communication operations. We evaluate DEAMON with a stochastic analysis and with simulation results, and show that it should significantly reduce energy consumption.