V
Vojislav B. Misic
Researcher at Ryerson University
Publications - 345
Citations - 4417
Vojislav B. Misic is an academic researcher from Ryerson University. The author has contributed to research in topics: Wireless sensor network & Computer science. The author has an hindex of 32, co-authored 312 publications receiving 3760 citations. Previous affiliations of Vojislav B. Misic include University of Belgrade & University of Winnipeg.
Papers
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Admission control in Bluetooth piconets
TL;DR: It is shown that E-limited service outperforms exhaustive service in terms of end-to-end delay and that the delays may be minimized through the proper choice of a single variable parameter: the number of packets to be exchanged during a single visit to a slave.
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Recovery in Channel-Hopping Cognitive Networks Under Random Primary-User Activity
Jelena Misic,Vojislav B. Misic +1 more
TL;DR: This work evaluates the performance of a recovery mechanism in channel-hopping cognitive networks using the tools of probabilistic analysis and renewal theory, and shows the importance of accurate sensing information for successful recovery.
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Perceptions of extreme programming: an exploratory study
TL;DR: The paper presents the main findings of a small pilot survey about user perceptions of XP, the best known and most controversial of the so-called agile software development methodologies.
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Adaptive inter-piconet scheduling in small scatternets
Vojislav B. Misic,Jelena Misic +1 more
TL;DR: This work analyzes the impact of different values of scatternet parameters on end-to-end delays, and investigates the possibility of minimization of the aforementioned delays, showing that such minimization is possible for sc atternets with both Slave/Slave and Master/Slage bridges.
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Impact of Node Churn in the Bitcoin Network
TL;DR: The aim of this work is to evaluate the impact of node churn –nodes leaving and rejoining the network– on the Bitcoin network and provides a comprehensive analytical model for the churning process that shows that networks with less than 4000 nodes are sensitive to churn.