ISLPED '99 Proceedings of the 1999 international symposium on Low power electronics and design
System architecture directions for networked sensors
ASPLOS IX Proceedings of the ninth international conference on Architectural support for programming languages and operating systems
Silent Stores and Store Value Locality
IEEE Transactions on Computers
WSNA '03 Proceedings of the 2nd ACM international conference on Wireless sensor networks and applications
Energy Efficient Comparators for Superscalar Datapaths
IEEE Transactions on Computers
An ultra low-power processor for sensor networks
ASPLOS XI Proceedings of the 11th international conference on Architectural support for programming languages and operating systems
TinyDB: an acquisitional query processing system for sensor networks
ACM Transactions on Database Systems (TODS) - Special Issue: SIGMOD/PODS 2003
An Ultra Low Power System Architecture for Sensor Network Applications
Proceedings of the 32nd annual international symposium on Computer Architecture
Avrora: scalable sensor network simulation with precise timing
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Power-Aware processors for wireless sensor networks
ISCIS'06 Proceedings of the 21st international conference on Computer and Information Sciences
Hi-index | 0.00 |
Wireless sensor networks (WSNs) gained increasing interests in recent years; since, they allow wide range of applications from environmental monitoring, to military and medical applications. As most of the sensor nodes (a.k.a. motes) are battery operated, they have limited lifetime, and user intervention is not feasible for most of the WSN applications. This study proposes a technique to reduce the energy dissipation of the processor component of the sensor nodes. We utilize a tiny cache-like structure called MoteCache between the CPU and the SRAM to cache the most recently used data values as well as to filter silent-store instructions which write values that exactly match the values that are already stored at the memory address that is being written. A typical WSN application may sense and work on constant data values for long durations, when the environmental conditions are not changing rapidly. This common behavior of WSN applications considerably improves our energy savings. The optimal configuration of MoteCache reduces the total node energy by 24.7% on the average across a variety of simulated sensor benchmarks. The average lifetime of the nodes is also improved by 46% on the average for processor-intensive applications. Using the proposed technique, the lifetime of the nodes that run communication-intensive applications, such as TinyDB and Surge, is also improved as much as 14%.