Middleware challenges for wireless sensor networks
ACM SIGMOBILE Mobile Computing and Communications Review
Impala: a middleware system for managing autonomic, parallel sensor systems
Proceedings of the ninth ACM SIGPLAN symposium on Principles and practice of parallel programming
An adaptive energy-efficient MAC protocol for wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
A wireless sensor network For structural monitoring
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Fluid Flow Approximation of PEPA models
QEST '05 Proceedings of the Second International Conference on the Quantitative Evaluation of Systems
Castalia: revealing pitfalls in designing distributed algorithms in WSN
Proceedings of the 5th international conference on Embedded networked sensor systems
Analysis of On-off policies in Sensor Networks Using Interacting Markovian Agents
PERCOM '08 Proceedings of the 2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications
Generating a Tailored Middleware for Wireless Sensor Network Applications
SUTC '08 Proceedings of the 2008 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (sutc 2008)
Wireless sensor network survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
A class of mean field interaction models for computer and communication systems
Performance Evaluation
PowerTOSSIM z: realistic energy modelling for wireless sensor network environments
Proceedings of the 3nd ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks
Energy-Hole Avoidance Routing Algorithm for WSN
ICNC '08 Proceedings of the 2008 Fourth International Conference on Natural Computation - Volume 01
Bio-PEPA: A framework for the modelling and analysis of biological systems
Theoretical Computer Science
HYPE: A Process Algebra for Compositional Flows and Emergent Behaviour
CONCUR 2009 Proceedings of the 20th International Conference on Concurrency Theory
Applications of Wireless Sensor Networks in the Oil, Gas and Resources Industries
AINA '10 Proceedings of the 2010 24th IEEE International Conference on Advanced Information Networking and Applications
Validation of WSN simulators through a comparison with a real testbed
Proceedings of the 7th ACM workshop on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks
Experimental evaluation of simulation abstractions for wireless sensor network MAC protocols
EURASIP Journal on Wireless Communications and Networking - Special issue on simulators and experimental testbeds design and development for wireless networks
TigerCENSE: wireless image sensor network to monitor tiger movement
REALWSN'10 Proceedings of the 4th international conference on Real-world wireless sensor networks
Fluid computation of the performance: energy tradeoff in large scale Markov models
ACM SIGMETRICS Performance Evaluation Review
Mean-field approximations for performance models with generally-timed transitions
ACM SIGMETRICS Performance Evaluation Review
Markovian agent modeling swarm intelligence algorithms in wireless sensor networks
Performance Evaluation
pTunes: runtime parameter adaptation for low-power MAC protocols
Proceedings of the 11th international conference on Information Processing in Sensor Networks
MAC Essentials for Wireless Sensor Networks
IEEE Communications Surveys & Tutorials
Simulation scalability issues in wireless sensor networks
IEEE Communications Magazine
Moment closures for performance models with highly non-linear rates
EPEW'12 Proceedings of the 9th European conference on Computer Performance Engineering
Moment closures for performance models with highly non-linear rates
EPEW'12 Proceedings of the 9th European conference on Computer Performance Engineering
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Wireless Sensor Networks (WSNs) consist of a large number of spatially distributed embedded devices (nodes), which communicate with one another via radio. Over the last decade improvements in hardware and a steady decrease in cost have encouraged the application of WSNs in areas such as industrial control, security and environmental monitoring. However, despite increasing popularity, the design of end-to-end software for WSNs is still an expert task since the choice of middleware protocols heavily influences the performance of resource-constrained WSNs. As a consequence, WSN designers resort to discrete event simulation prior to deploying networks. While such simulations are reasonably accurate, they tend to be computationally expensive to run, especially for large networks. This particularly limits the number of distinct protocol configurations that engineers can test in advance of construction and hence their final setup may be suboptimal. To mitigate this effect we discuss how highly efficient mean-field techniques can be brought to bear on models of wireless sensor networks. In particular, we consider the practical modelling issues involved in constructing appropriately realistic Population CTMC (PCTMC) models of WSN protocols.