Performance analysis of embedded software using implicit path enumeration
DAC '95 Proceedings of the 32nd annual ACM/IEEE Design Automation Conference
Power Efficient Topologies for Wireless Sensor Networks
ICPP '02 Proceedings of the 2001 International Conference on Parallel Processing
Energy-efficient surveillance system using wireless sensor networks
Proceedings of the 2nd international conference on Mobile systems, applications, and services
Versatile low power media access for wireless sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Timing Analysis for Sensor Network Nodes of the Atmega Processor Family
RTAS '05 Proceedings of the 11th IEEE Real Time on Embedded Technology and Applications Symposium
Nonintrusive precision instrumentation of microcontroller software
LCTES '05 Proceedings of the 2005 ACM SIGPLAN/SIGBED conference on Languages, compilers, and tools for embedded systems
ExScal: Elements of an Extreme Scale Wireless Sensor Network
RTCSA '05 Proceedings of the 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
Estimating the Worst-Case Energy Consumption of Embedded Software
RTAS '06 Proceedings of the 12th IEEE Real-Time and Embedded Technology and Applications Symposium
VigilNet: An integrated sensor network system for energy-efficient surveillance
ACM Transactions on Sensor Networks (TOSN)
Evaluating Energy Consumption in Wireless Sensor Networks Applications
DSD '07 Proceedings of the 10th Euromicro Conference on Digital System Design Architectures, Methods and Tools
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Wireless sensor networks (WSNs) are increasingly used in our daily life. However, since the battery lifetime of a WSN node is restricted, the lifetime of a WSN is also limited. Thus, it is crucial to determine this limited lifetime in advance for preventing service interruptions. This paper proposes a feasible static analysis approach to estimate the worst-case lifetime of WSNs, with specific focus on Vigil Net. We statically estimate the lifetime of each node in Vigil Net with a fixed initial energy budget through a hybrid approach, which integrates an Integer Linear Programming (ILP) based method to obtain the worst-case CPU energy consumption and domain-specific scenarios analysis to compute the worst-case radio energy consumption. Our experimental results indicate that this static approach can safely and accurately estimate the worst-case lifetime for WSNs.