Flexible Online Energy Accounting in TinyOS
نویسنده
چکیده
Energy is the most limiting resource in sensor networks. This is particularly true for dynamic sensor networks in which the sensor-net application changes its hardware utilization over time. In such networks, offline estimation of energy consumption can not take into account all changes to the application’s hardware utilization profile and thus invariably returns inaccurate estimates. Online accounting methods offer more precise energy consumption estimates. In this paper we describe an online energy accounting system for TinyOS consisting of two components: An energy-estimation system to collect information about energy consumption of a node and an energy-container system that allows an application to collect energy-consumption information about its tasks individually. The evaluation with TinyDB shows that it is both accurate and efficient.
منابع مشابه
Energy Accounting Support in TinyOS
Energy is the most limiting resource in sensor networks. This is particularly true for dynamic sensor networks in which the sensor-net application is not statically planned. We describe three components of our energy management system for nodes in such dynamic sensor networks: A flexible energy model and an accounting infrastructure for making sensor nodes energy-aware, and Resource Containers ...
متن کاملTinyOS: An Operating System for Sensor Networks
We present TinyOS, a flexible, application-specific operating system for sensor networks, which form a core component of ambient intelligence systems. Sensor networks consist of (potentially) thousands of tiny, low-power nodes, each of which execute concurrent, reactive programs that must operate with severe memory and power constraints. The sensor network challenges of limited resources, event...
متن کاملFOMA: Flexible Overlay Multipath Data Aggregation for Wireless Sensor Networks
In wireless sensor networks source data must be routed by intermediate nodes to reach the sink. Data aggregation is an efficient method to decrease energy consumption in these networks. However, providing end to end data reliability is a major challenge when the network uses data aggregation, in this case, a packet loss can greatly affect final results. End to end reliability can be increased b...
متن کاملEnhanced Coordination in Sensor Networks through Flexible Service Provisioning
Heterogeneous wireless sensor networks represent a challenging programming environment. Servilla addresses this by offering a new middleware framework that provides service provisioning. Using Servilla, developers can construct platform-independent applications over a dynamic set of devices with diverse computational resources and sensors. A salient feature of Servilla is its support for dynami...
متن کاملAn Online Q-learning Based Multi-Agent LFC for a Multi-Area Multi-Source Power System Including Distributed Energy Resources
This paper presents an online two-stage Q-learning based multi-agent (MA) controller for load frequency control (LFC) in an interconnected multi-area multi-source power system integrated with distributed energy resources (DERs). The proposed control strategy consists of two stages. The first stage is employed a PID controller which its parameters are designed using sine cosine optimization (SCO...
متن کامل