Cycle-accurate simulation of energy consumption in embedded systems
Proceedings of the 36th annual ACM/IEEE Design Automation Conference
A line in the sand: a wireless sensor network for target detection, classification, and tracking
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Military communications systems and technologies
Smart Parking: An Application of Optical Wireless Sensor Network
SAINT-W '07 Proceedings of the 2007 International Symposium on Applications and the Internet Workshops
Energy consumption in mobile phones: a measurement study and implications for network applications
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
Accounting for the energy consumption of personal computing including portable devices
Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking
An analysis of power consumption in a smartphone
USENIXATC'10 Proceedings of the 2010 USENIX conference on USENIX annual technical conference
CODES/ISSS '10 Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
WCDMA for UMTS: HSPA Evolution and LTE
WCDMA for UMTS: HSPA Evolution and LTE
Fine-grained power modeling for smartphones using system call tracing
Proceedings of the sixth conference on Computer systems
A network and system level approach towards an accurate simulation of WSNs
EUROCAST'11 Proceedings of the 13th international conference on Computer Aided Systems Theory - Volume Part II
A close examination of performance and power characteristics of 4G LTE networks
Proceedings of the 10th international conference on Mobile systems, applications, and services
Proceedings of the 2nd International Conference on Energy-Efficient Computing and Networking
Hi-index | 0.00 |
The prediction of resource consumption is an essential task in the development of heavily resource-constrained systems, like smartphones and wireless sensor networks. In particular, good estimations on energy consumption are difficult to achieve, as they depend on the application's behavior, the used hardware and environment parameters. To address these issues, we introduce MobiSIM, an open-source OMNeT++ simulation library. MobiSIM allows the modeling of embedded systems to gain valuable information on the system's dynamic characteristics of resource consumption. The benefit of MobiSIM over other simulation systems is the focus on resource usage. Most other simulators focus on highly detailed system models to allow for the execution of native program code. These simulators are highly platform specific and complex to handle. We decided to use a coarse-grained, event-driven and platform-independent system model while still using detailed resource models for various devices. We will show that for several simulation purposes the application code can be modeled by a behavioral description, rendering instruction-accurate code execution unnecessary.