SDAP
Abstract
Hop-by-hop data aggregation is a very important technique for reducing the communication overhead and energy expenditure of sensor nodes during the process of data collection in a sensor network. However, because individual sensor readings are lost in the per-hop aggregation process, compromised nodes in the network may forge false values as the aggregation results of other nodes, tricking the base station into accepting spurious aggregation results. Here a fundamental challenge is how can the base station obtain a good approximation of the fusion result when a fraction of sensor nodes are compromised?
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jul 01, 2008
- Source ID
- 10.1145/1380564.1380568
Entities
People
- Guohong Cao
- Sencun Zhu
- Xinran Wang
- Yi Yang
Organizations
- Army Research Office
- National Science Foundation
- Pennsylvania State University