A One-Shot Dynamic Optimization Methodology and Application Metrics Estimation Model for Wireless Sensor Networks
Wireless Sensor Networks (WSNs), consisting of autonomous sensor nodes, have emerged as ubiquitous networks that span diverse application domains (e.g., health care, logistics, defense) each with varying application requirements (e.g., lifetime, throughput, reliability). Typically, sensor-based platforms possess tunable parameters (e.g., processor voltage, processor frequency, sensing frequency), which enable platform specialization for particular application requirements. WSN application design can be daunting for application developers, which are oftentimes not trained engineers (e.g., biologists, agriculturists) who wish to utilize the sensor-based systems within their given domain. Dynamic optimizations enable sensor-based platforms to tune parameters in-situ to automatically determine an optimized operating state.