Scheduling algorithms for multihop radio networks
IEEE/ACM Transactions on Networking (TON)
TOSSIM: accurate and scalable simulation of entire TinyOS applications
Proceedings of the 1st international conference on Embedded networked sensor systems
Efficient interference-aware TDMA link scheduling for static wireless networks
Proceedings of the 12th annual international conference on Mobile computing and networking
Improving wireless simulation through noise modeling
Proceedings of the 6th international conference on Information processing in sensor networks
An analysis of unreliability and asymmetry in low-power wireless links
ACM Transactions on Sensor Networks (TOSN)
NSDI'04 Proceedings of the 1st conference on Symposium on Networked Systems Design and Implementation - Volume 1
WirelessHART: Applying Wireless Technology in Real-Time Industrial Process Control
RTAS '08 Proceedings of the 2008 IEEE Real-Time and Embedded Technology and Applications Symposium
The β-factor: measuring wireless link burstiness
Proceedings of the 6th ACM conference on Embedded network sensor systems
Delay aware link scheduling for multi-hop TDMA wireless networks
IEEE/ACM Transactions on Networking (TON)
Reliability through frequency diversity: why channel hopping makes sense
Proceedings of the 6th ACM symposium on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
An empirical study of low-power wireless
ACM Transactions on Sensor Networks (TOSN)
Optimal link scheduling and channel assignment for convergecast in linear wirelessHART networks
WiOPT'09 Proceedings of the 7th international conference on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
TDMA scheduling algorithms for wireless sensor networks
Wireless Networks
IEEE Transactions on Mobile Computing
Theoretical Aspects of Distributed Computing in Sensor Networks
Theoretical Aspects of Distributed Computing in Sensor Networks
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Scheduling algorithms play an important role for TDMA-based wireless sensor networks. Existing TDMA scheduling algorithms address a multitude of objectives. However, their adaptation to the dynamics of a realistic wireless sensor network has not been investigated in a satisfactory manner. This is a key issue considering the challenges within industrial applications for wireless sensor networks, given the time-constraints and harsh environments. In response to those challenges, we present SAS-TDMA, a source-aware scheduling algorithm. It is a cross-layer solution which adapts itself to network dynamics. It realizes a trade-off between scheduling length and its configurational overhead incurred by rapid responses to routes changes. We implemented a TDMA stack instead of the default CSMA stack and introduced a cross-layer for scheduling in TOSSIM, the TinyOS simulator. Numerical results show that SAS-TDMA improves the quality of service for the entire network. It achieves significant improvements for realistic dynamic wireless sensor networks when compared to existing scheduling algorithms with the aim to minimize latency for real-time communication.