| Paper: | SS-5.2 | ||
| Session: | Signal Processing for Wireless Sensor Networks II | ||
| Time: | Wednesday, May 19, 13:17 - 13:34 | ||
| Presentation: | Special Session Lecture | ||
| Topic: | Special Sessions: Signal Processing for Wireless Sensor Networks | ||
| Title: | EFFECT OF MAC DESIGN ON SOURCE ESTIMATION IN DENSE SENSOR NETWORKS | ||
| Authors: | Min Dong; Cornell University | ||
| Lang Tong; Cornell University | |||
| Brian Sadler; Army Research Laboratory | |||
| Abstract: | We investigate the impact of medium access control (MAC) design on the reconstruction performance of a one-dimensional random signal field measured by a large scale sensor network. Assuming the sensor density goes to infinity, we show that MAC design affects the decay rate of reconstruction distortion, and thus the efficiency on reconstruction, as the number of received packets M increases. Using a deterministic MAC with uniform spatial sampling, ie, scheduling sensor transmissions from uniformly spaced locations, results in a faster decay rate of distortion than that using an ALOHA-like random access MAC. In particular, the ratio of the excess reconstruction distortion under random access MACs to that under the MAC with uniform sampling grows as O(log M).We further show that in the high measurement SNR regime, the benefit from carefully scheduling transmission instead of random access is substantial. In the low SNR regime, however, using random access MACs results in little reconstruction performance loss. | ||
| Back | |||
Home -||-
Organizing Committee -||-
Technical Committee -||-
Technical Program -||-
Plenaries
Paper Submission -||-
Special Sessions -||-
ITT -||-
Paper Review -||-
Exhibits -||-
Tutorials
Information -||-
Registration -||-
Travel Insurance -||-
Housing -||-
Workshops