In other words, if the deployment is sparse, we
could never expect a nearly precise result. In [8], the authors enumerate the
challenges to estimate a boundary using mobile sensing nodes. They also outline
a three-dimensional testbed designed for boundary detection in a mobile
way. This work is still in progress. Due to advances in battery technologies
and sensor hardware, we believe that we can achieve promising accuracy of
boundary estimation in the future.
173
References
1. Krishna K. Chintalapudi and Ramesh Govindan. Localized edge detection in
sensor fields. Ad-hoc Networks Journal, 2003.
2. Min Ding, Dechang Chen, KaiXing, and Xiuzhen Cheng. Localized fault-tolerant
event boundary detection in sensor networks. In IEEE INFOCOM, 2005.
3. David L. Donoho. Wedgelets: Nearly minimax estimation of edges. Ann. Statist.,
27, 3:859??“897, 1999.
4. Deepak Ganesan, Deborah Estrin, and John Heideman. Dimensions: Why do
we need a new data handling architecture for sensor networks? In IEEE/ACM
HotNets-I, Princeton, NJ, Oct. 2002.
5. Bhaskar Krishnamachari and Sitharama Iyengar. Distributed bayesian algorithms
for fault-tolerant event region detection in wireless sensor networks. IEEE
Transactions on Computer, Vol. 53, No. 3, Mar. 2004.
6. Jie Liu, Patrick Cheung, Leonidas Guibas, and Feng Zhao. A dual-space approach
to tracking and sensor management in wireless sensor networks. In International
Conference on Mobile Computing and Networking, pages 131??“139,
2002.
Pages:
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295