Interference of bluetooth and IEEE 802.11: simulation modeling and performance evaluation
MSWIM '01 Proceedings of the 4th ACM international workshop on Modeling, analysis and simulation of wireless and mobile systems
PSFQ: a reliable transport protocol for wireless sensor networks
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Directed diffusion for wireless sensor networking
IEEE/ACM Transactions on Networking (TON)
Bluetooth and sensor networks: a reality check
Proceedings of the 1st international conference on Embedded networked sensor systems
CODA: congestion detection and avoidance in sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Poster abstract: BTnodes -- a distributed platform for sensor nodes
Proceedings of the 1st international conference on Embedded networked sensor systems
Walk-In Bridge Scheduling in Bluetooth Scatternets
Cluster Computing
On the Performance of Bluetooth Scatternets with Finite Buffers
ICDCSW '05 Proceedings of the Second International Workshop on Wireless Ad Hoc Networking - Volume 09
Event-to-sink reliable transport in wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
International Journal of Distributed Sensor Networks - Heterogenous Wireless Ad Hoc and Sensor Networks
Review: A survey on cross-layer solutions for wireless sensor networks
Journal of Network and Computer Applications
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In this paper, we consider a Bluetooth scatternet acting as a sensor network, in which we implement an energy efficient congestion- and event-based reliability control scheme. Event reliability is defined as the number of data packets with sensing information collected by the sink per second. We propose two algorithms for congestion and event reliability control. The first algorithm maintains the required (fixed) event reliability at the sink using minimal slave activity. It uses pre-calculated activity values obtained from the analytical and simulation models of the network. The second algorithm keeps the whole network within the acceptable range of packet losses using the minimal slave activity. In this case source piconets use the information measured at the sink in order to regulate the activity of the slaves. The reliability obtained at the sink, bridge buffer loss rates, and end-to-end delays are analyzed for power controlled piconets within the sensor scatternet. The proposed algorithms significantly reduce congestion and source-to-sink delays, while minimizing packet losses due to finite buffers in the bridge nodes.