Explicit solutions to analytical models of cross-layer protocol optimization in wireless sensor networks

William S. Hortos

doi:10.1117/12.820501

19 May 2009 Explicit solutions to analytical models of cross-layer protocol optimization in wireless sensor networks

William S. Hortos

Proceedings Volume 7352, Intelligent Sensing, Situation Management, Impact Assessment, and Cyber-Sensing; 735209 (2009) https://doi.org/10.1117/12.820501
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

Abstract

The work is based on the interactions among the nodes of a wireless sensor network (WSN) to cooperatively process data from multiple sensors. Quality-of-service (QoS) metrics are associated with the quality of fused information: throughput, delay, packet error rate, etc. A multivariate point process (MVPP) model of discrete random events in WSNs establishes stochastic characteristics of optimal cross-layer protocols. In previous work by the author, discreteevent, cross-layer interactions in the MANET protocol are modeled in very general analytical terms with a set of concatenated design parameters and associated resource levels by multivariate point processes (MVPPs). Characterization of the "best" cross-layer designs for the 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. Assumptions on WSN characteristics simplify the dynamic programming conditions to yield mathematically tractable descriptions for the optimal routing protocols. Modeling limitations on the determination of closed-form solutions versus iterative explicit solutions for ad hoc WSN controls are presented.

Citation Download Citation

William S. Hortos "Explicit solutions to analytical models of cross-layer protocol optimization in wireless sensor networks", Proc. SPIE 7352, Intelligent Sensing, Situation Management, Impact Assessment, and Cyber-Sensing, 735209 (19 May 2009); https://doi.org/10.1117/12.820501

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KEYWORDS

Sensor networks

Sensors

Control systems

Fourier transforms

Data modeling

Stochastic processes

Computer programming

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