End-to-End Energy Management in Networked Real-Time Embedded Systems

Recent technological advances have opened up a wide range of distributed real-time applications involving battery-driven embedded devices with local processing and wireless communication capabilities. Some such applications include: wireless sensor networking, pervasive computing, and wireless industrial automation. Energy management is an integral part of the design and operation of such systems. In this work, we focus on the end-to-end energy management of data aggregation in distributed wireless sensor networks. Performing end-to-end energy management for the data aggregation application poses certain unique challenges particularly when the computational demands on the individual nodes are significant. In this paper, we address the problem of minimizing the total energy consumption of data aggregation with an end-to-end latency constraint while taking into account both the computational and communication workloads in the network. We consider a model where individual nodes support bo...

• Type: Journal
• Year: 2008
• Where: TPDS
• Authors: G. Sudha Anil Kumar, Govindarasu Manimaran, Zhengdao Wang
• Keywords: Data Aggregation, Energy Management, TPDS 2008, Wireless Sensor