Research Article
Analytical Models of Cross-Layer Protocol Optimization in Real-Time Wireless Sensor Networks
@INPROCEEDINGS{10.1007/978-3-642-11723-7_52, author={William Hortos}, title={Analytical Models of Cross-Layer Protocol Optimization in Real-Time Wireless Sensor Networks}, proceedings={1st International ICST Workshop on Advanced Sensor Integration Technology}, proceedings_a={ASIT}, year={2012}, month={7}, keywords={Continuous-time stochastic optimization cross-layer protocol design dynamic programming marked Markov process martingale decomposition multivariate point processes multi-sensor fusion wireless ad hoc sensor networks}, doi={10.1007/978-3-642-11723-7_52} }- William Hortos
Year: 2012
Analytical Models of Cross-Layer Protocol Optimization in Real-Time Wireless Sensor Networks
ASIT
Springer
DOI: 10.1007/978-3-642-11723-7_52
Abstract
The real-time interactions among the nodes of a wireless sensor network (WSN) to cooperatively process data from multiple sensors are modeled. Quality-of-service (QoS) metrics are associated with the quality of fused information: throughput, delay, packet error rate, etc. Multivariate point process (MVPP) models of discrete random events in WSNs establish stochastic characteristics of optimal cross-layer protocols. Discrete-event, cross-layer interactions in mobile network (MANET) protocols have been modeled using a set of concatenated design parameters and associated resource levels by the MVPPs. Characterization of the “best” cross-layer designs for a MANET is formulated by applying the general theory of martingale representations to controlled MVPPs. Performance is described in terms of concatenated protocol parameters and controlled through conditional rates of the MVPPs. Modeling limitations to determination of closed-form solutions versus explicit iterative solutions for ad hoc WSN controls are examined.