FOCS '00 Proceedings of the 41st Annual Symposium on Foundations of Computer Science
Gossip-Based Computation of Aggregate Information
FOCS '03 Proceedings of the 44th Annual IEEE Symposium on Foundations of Computer Science
Regional Gossip Routing for Wireless Ad Hoc Networks
LCN '03 Proceedings of the 28th Annual IEEE International Conference on Local Computer Networks
Approximate distributed Kalman filtering in sensor networks with quantifiable performance
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
IEEE/ACM Transactions on Networking (TON) - Special issue on networking and information theory
IEEE Transactions on Signal Processing
SOI-KF: Distributed Kalman Filtering With Low-Cost Communications Using the Sign of Innovations
IEEE Transactions on Signal Processing
Bandwidth-constrained distributed estimation for wireless sensor Networks-part I: Gaussian case
IEEE Transactions on Signal Processing
IEEE Transactions on Information Theory
Distributed Kalman filtering based on consensus strategies
IEEE Journal on Selected Areas in Communications
| Hi-index | 0.00 |
The wide variety of applications for wireless sensor networks combined with the energy constrained nature of sensor nodes has motivated research on algorithms for in-network estimation of measured physical quantities to reduce the amount of data that needs to be transmitted to the sink. The main contribution of this work is a distributed estimation solution that leverages the broadcast nature of the wireless channel in sensor networks.We present a data dissemination protocol, called Kalsip, which is designed to support the implementation of our distributed estimation algorithm based on Kalman filters. We show, through analysis and simulation, that our protocol provides accurate estimation of physical properties while minimizing the number of transmissions needed and requiring nodes to only overhear estimates broadcast by their neighbors.