Negotiation-based protocols for disseminating information in wireless sensor networks
Wireless Networks - Selected Papers from Mobicom'99
TOSSIM: accurate and scalable simulation of entire TinyOS applications
Proceedings of the 1st international conference on Embedded networked sensor systems
The dynamic behavior of a data dissemination protocol for network programming at scale
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
MNP: Multihop Network Reprogramming Service for Sensor Networks
ICDCS '05 Proceedings of the 25th IEEE International Conference on Distributed Computing Systems
Sprinkler: A Reliable and Energy Efficient Data Dissemination Service for Wireless Embedded Devices
RTSS '05 Proceedings of the 26th IEEE International Real-Time Systems Symposium
Proceedings of the 11th workshop on ACM SIGOPS European workshop
ReMo: An Energy Efficient Reprogramming Protocol for Mobile Sensor Networks
PERCOM '08 Proceedings of the 2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications
Reprogramming wireless sensor networks: challenges and approaches
IEEE Network: The Magazine of Global Internetworking
Evolutionary algorithms for base station placement in mobile networks
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
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Reprogramming sensor nodes is an effective way of improving wireless sensor networks. The latest reprogramming protocols use radio communication to distribute software data. Although several base stations are optimally placed to disseminate software rapidly in large-scale sensor networks, the performance of reprogramming protocols for multi-base station environments has not been discussed. This paper discusses our evaluation of the features of software dissemination by multi-base station sensor networks. Simulations revealed that the placement and number of base stations were the key parameters in software dissemination.