Directed diffusion for wireless sensor networking
IEEE/ACM Transactions on Networking (TON)
Probabilistic Reliable Dissemination in Large-Scale Systems
IEEE Transactions on Parallel and Distributed Systems
NSDI'04 Proceedings of the 1st conference on Symposium on Networked Systems Design and Implementation - Volume 1
Gappa: gossip based multi-channel reprogramming for sensor networks
DCOSS'06 Proceedings of the Second IEEE international conference on Distributed Computing in Sensor Systems
Reliable gossip-based broadcast protocol in mobile ad hoc networks
MSN'05 Proceedings of the First international conference on Mobile Ad-hoc and Sensor Networks
Data management in mobile peer-to-peer networks
DBISP2P'04 Proceedings of the Second international conference on Databases, Information Systems, and Peer-to-Peer Computing
IEEE Communications Magazine
Reliable and efficient reprogramming in sensor networks
ACM Transactions on Sensor Networks (TOSN)
@Flood: auto-tunable flooding for wireless ad hoc networks
Euro-Par'10 Proceedings of the 16th international Euro-Par conference on Parallel processing: Part II
Selective reprogramming of mobile sensor networks through social community detection
EWSN'10 Proceedings of the 7th European conference on Wireless Sensor Networks
SIROCCO'09 Proceedings of the 16th international conference on Structural Information and Communication Complexity
| Hi-index | 0.00 |
Wireless sensor networks (WSN) have recently received an increasing interest. They are now expected to be deployed for long periods of time, thus requiring software updates. Updating the software code automatically on a huge number of sensors is a challenging task, especially when all participating sensors are embedded on mobile entities. In this paper, we investigate an approach to automatically update software in mobile sensor-based applications when no localization mechanism is available. We leverage the peer-to-peer cooperation paradigm to achieve a good trade-off between reliability and scalability of code propagation. More specifically, we present the design and evaluation of GCP (Gossip-based Code Propagation), a distributed software update algorithm for mobile wireless sensor networks. GCP relies on two different mechanisms, piggybacking and forwarding control, to balance the load among sensors without sacrificing on the propagation speed. We compare GCP against traditional dissemination approaches. Simulation results based on both synthetic and realistic work-loads show that GCP achieves a good convergence speed while balancing the load evenly between sensors.