2008 International Symposium on Computer Science and Computational Technology 2008
DOI: 10.1109/iscsct.2008.240
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Slot Time Synchronization for TDMA-Based Ad Hoc Networks

Abstract: Time synchronization is very important for a TimeDivision Multiple Access (TDMA) Ad Hoc Network. In this paper, we proposed Slot Time Synchronization protocol to synchronize all the nodes in a TDMA network. We compute the receive time from Absolute Slot Number (ASN) and use linear regression to eliminate the clock drift. We have carried out our method in real ad hoc networks and achieved the tolerable precision and improved network stability.

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Cited by 11 publications
(3 citation statements)
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“…Therefore, perfect time synchronization is not necessary. Researchers have recently proposed several decentralized synchronization algorithms, such as , that have a timing accuracy of less than 10 μ s.…”
Section: The End‐to‐end Channel Allocation Scheme Channel Allocation mentioning
confidence: 99%
“…Therefore, perfect time synchronization is not necessary. Researchers have recently proposed several decentralized synchronization algorithms, such as , that have a timing accuracy of less than 10 μ s.…”
Section: The End‐to‐end Channel Allocation Scheme Channel Allocation mentioning
confidence: 99%
“…Compared to CSMA-based MAC policies [13], TDMAbased ones introduce a certain overhead. Apart from synchronizing nodes [14], in case of topology changes, slot re-allocation may be required which is a resourceconsuming process [15]. Topology-independent MAC policies are revisited here to tackle the latter problem, to inherently adapt to topology changes.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, in a system under a TDMA policy, there is no need for the nodes to listen to the medium prior to transmitting [13], while at the same time TDMA's deterministic approach guarantees a minimum performance level in terms of throughput. On the other hand, specific challenges arise when TDMA policies are applied, such as the need for continuous synchronization among the devices [14]. The latter drawback's difficulty to tackle lies both on the aforementioned extensive data generated by IoT devices and on the deviation occurring on the different devices' clocks as time passes [15,16].…”
Section: Introductionmentioning
confidence: 99%