Please use this identifier to cite or link to this item:
|Title:||Connectivity monitoring in wireless sensor networks|
|Authors:||Zhang, M. |
|Citation:||Zhang, M., Chan, M.C., Ananda, A.L. (2008). Connectivity monitoring in wireless sensor networks. 2008 5th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems, MASS 2008 : 69-79. ScholarBank@NUS Repository. https://doi.org/10.1109/MAHSS.2008.4660012|
|Abstract:||Connectivity monitoring is useful in practical deployment sensor network. In order to understand behavior and performance bottleneck, knowledge of network connectivity is crucial. In this paper, we a flexible and efficient connectivity monitoring (H2CM) that has three components and operates a divide and conquer manner. The components hop vector distance based filtering, Bloom filters signature hashing and are designed to work different combinations ofnetwork and neighbor set. In simulation, communication cost reduction of 2CM compare to maximal compression of neighborhood varies from 65% to 85% for large (> 1000 nodes) and from 40% to 70% for a size network (a few hundred nodes). We have implemented the algorithm in TinyOS and evaluated performance on a testbed with 34 motes. ©2008 IEEE.|
|Source Title:||2008 5th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems, MASS 2008|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Mar 3, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.