NeTS: Medium: Collaborative Research: Exploiting Battery-Supply Nonlinearities in Optimal Resource Mgmt and Protocol Design for Wireless Sensor NeTS:Medium:Collaborative Research: Exploiting Battery-Supply Nonlinearities in Optimal Resource Mgmt and Protocol Design for Wireless Sensor Networks Advances in IC fabrication, micro-electro-mechanical systems (MEMs), and low-power wireless communications have paved the way for the deployment of dense wireless sensor networks (WSNs). The functions of a sensor unit are no longer restricted to simple data collection and transmission. In fact, the trend has been to integrate increasing degrees of intelligence by embedding advanced microprocessors and high-performance digital wireless communication circuits within the same unit, allowing it to execute complex signal processing algorithms typically performed by traditional computers. Low cost and ease of deployment of sensor systems necessitate using batteries as the primary source of power in these systems. Due to various physical and logistical constraints (e.g., harsh terrain, hostile environment, deep embedding, etc.), battery replacement may not often be an option. Consequently, efficient energy management has been a key design objective for WSNs.
|Effective start/end date||8/1/09 → 7/31/13|
- National Science Foundation (NSF): $215,000.00
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