Dominating Sets and Neighbor Elimination-Based Broadcasting Algorithms in Wireless Networks
IEEE Transactions on Parallel and Distributed Systems
Smart-Its Friends: A Technique for Users to Easily Establish Connections between Smart Artefacts
UbiComp '01 Proceedings of the 3rd international conference on Ubiquitous Computing
Spine versus Porcupine: A Study in Distributed Wearable Activity Recognition
ISWC '04 Proceedings of the Eighth International Symposium on Wearable Computers
Toward Distributed Service Discovery in Pervasive Computing Environments
IEEE Transactions on Mobile Computing
Sensemble: a wireless, compact, multi-user sensor system for interactive dance
NIME '06 Proceedings of the 2006 conference on New interfaces for musical expression
Using association rules for energy conservation in wireless sensor networks
Proceedings of the 2008 ACM symposium on Applied computing
Tandem: a context-aware method for spontaneous clustering of dynamic wireless sensor nodes
IOT'08 Proceedings of the 1st international conference on The internet of things
Placement variations and their diagnosis
Proceedings of the 4th ACM International Workshop on Context-Awareness for Self-Managing Systems
Energy-aware data processing techniques for wireless sensor networks: a review
Transactions on large-scale data- and knowledge-centered systems III
A study on automatic recognition of object use exploiting motion correlation of wireless sensors
Personal and Ubiquitous Computing
Cross-community context management in Cooperating Smart Spaces
Personal and Ubiquitous Computing
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We propose a method through which dynamic sensor nodes determine that they move together by communicating and correlating their movement information. We describe two possible solutions, one using inexpensive tilt switches, and another one using low-cost MEMS accelerometers. We implement a fast, incremental correlation algorithm, which can run on resource constrained devices. The tests with the implementation on real sensor nodes show that the method distinguishes between joint and separate movements. In addition, we analyse the scalability from four different perspectives: communication, energy, memory and execution speed. The solution using tilt switches proves to be simpler, cheaper and more energy efficient, while the accelerometer-based solution is more accurate and more robust to sensor alignment problems.