ABSTRACT
Most current sensor nodes are composed of a microcontroller and a radio. Their real-time and peak performance would be a bottleneck when executing compute-intensive tasks. Several works demonstrate that adding a hardware co-processor could accelerate the execution speed of the sensor nodes. So far, no simulators can simulate these new sensor nodes in wireless networks. An extension to SUNSHINE [1], a hardware-software emulator is developed to fill the void.
- J. Zhang, Y. Tang, S. Hirve, S. Iyer, P. Schaumont, and Y. Yang. A Software-Hardware Emulator for Sensor Networks. In IEEE SECON, 2011.Google ScholarCross Ref
- S. Iyer, J. Zhang, Y. Yang, and P. Schaumont. A Unifying Interface Abstraction for Accelerated Computing in Sensor Nodes. In ESLsyn, 2011.Google ScholarCross Ref
Index Terms
- Poster: SUNSHINE extension: a hardware-software emulator for flexible sensor nodes in wireless networks
Recommendations
POSTER: Enhancement of Cluster-Based Routing Protocol in Wireless Sensor Network
MobiSys '16 Companion: Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services CompanionThe challenges of wireless sensor networks include the unsafe condition of power resources for prolonging network lifetime. Low-Energy Adaptive Clustering Hierarchy (LEACH) protocol is a solution for efficient energy consumption in sensor networks, ...
A Simulator for Flexible Sensor Nodes in Wireless Networks
MSN '11: Proceedings of the 2011 Seventh International Conference on Mobile Ad-hoc and Sensor NetworksMost current sensor nodes are composed of a microcontroller and a radio. Their real-time and peak performance would be a bottleneck when executing compute-intensive tasks. Several works demonstrate that adding a hardware co-processor could accelerate ...
Poster: using local and global knowledge in wireless sensor networks
MobiSys '12: Proceedings of the 10th international conference on Mobile systems, applications, and servicesWireless Sensor Networks (WSNs) produce large quantities of raw data from multiple sources, such as cameras, temperature or humidity sensors. We propose a network that uses the knowledge of domain experts that use the network, as well as previously ...
Comments