Wattch: a framework for architectural-level power analysis and optimizations
Proceedings of the 27th annual international symposium on Computer architecture
Battery-aware static scheduling for distributed real-time embedded systems
Proceedings of the 38th annual Design Automation Conference
Battery capacity measurement and analysis using lithium coin cell battery
ISLPED '01 Proceedings of the 2001 international symposium on Low power electronics and design
Communication-Based Power Management
IEEE Design & Test
Modeling and optimization of energy supply and demand for portable reconfigurable electronic systems
Modeling and optimization of energy supply and demand for portable reconfigurable electronic systems
Static task-scheduling algorithms for battery-powered DVS systems
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
A model for battery lifetime analysis for organizing applications on a pocket computer
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Energy efficient transmission scheduling for delay constrained wireless networks
IEEE Transactions on Wireless Communications
Improving battery performance by using traffic shaping techniques
IEEE Journal on Selected Areas in Communications
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With the concept of "Cognitive Sense of China" and "Smart Planet" proposed, wireless sensor networking is considered to be one of the most important technologies of the new century. In wireless sensor networks, how to extend battery lifetime is a core problem. In this paper, we address the problem of designing battery-friendly packet transmission policies for wireless sensor networks. Our objective is to maximize the lifetime of batteries for wireless sensor nodes subject to certain delay constraints. We present three packet transmission schemes and evaluate them with respect to battery performance. The first scheme, based on combining multiple packets, utilizes battery charge recovery effect, which allows some charge to be recovered during long idle periods. The second scheme, based on a modified version of lazy packet scheduling, draws smoother and lower current and is battery efficient. The final scheme, based on a combination of the two previous schemes has superior battery performance at the expense of larger average packet delay. All three schemes are simulated for a wireless network framework with internet traffic, and the results were validated.