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Anjur Sundaresan Krishnakumar
Researcher at Avaya
Publications - 114
Citations - 4034
Anjur Sundaresan Krishnakumar is an academic researcher from Avaya. The author has contributed to research in topics: Wireless network & Network packet. The author has an hindex of 30, co-authored 114 publications receiving 3994 citations. Previous affiliations of Anjur Sundaresan Krishnakumar include Bell Labs & Alcatel-Lucent.
Papers
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Journal ArticleDOI
Quality-of-service in ad hoc carrier sense multiple access wireless networks
TL;DR: This paper presents and studies black-burst (BB) contention, which is a distributed MAC scheme that provides QoS real-time access to ad hoc CSMA wireless networks and provides conditions for the scheme to be stable.
Proceedings ArticleDOI
Bayesian indoor positioning systems
David Madigan,E. Einahrawy,Richard Martin,Wen-Hua Ju,Parameshwaran Krishnan,Anjur Sundaresan Krishnakumar +5 more
TL;DR: This paper presents a Bayesian hierarchical model for indoor location estimation in wireless networks that eliminates the requirement for training data as compared with existing approaches, thereby introducing the notion of a fully adaptive zero profiling approach to location estimation.
Proceedings ArticleDOI
A system for LEASE: location estimation assisted by stationary emitters for indoor RF wireless networks
TL;DR: An adaptable infrastructure-based system that uses a small number of stationary emitters and sniffers employed in a novel way to locate standard wireless clients in an enterprise to perform location estimation with good accuracy in a new adaptable framework.
Proceedings ArticleDOI
Automatic Functional Test Generation Using The Extended Finite State Machine Model
TL;DR: Experimental results show that a set of comprehensive functional vectors for sequential circuits with more than a hundred flip-flops can be generated automatically in a few minutes of CPU time using the prototype system.
Journal ArticleDOI
Real-time traffic over the IEEE 802.11 medium access control layer
TL;DR: The behavior of the new access techniques are examined to derive conditions under which they can be considered stable and estimates of the number of real-time stations that can be supported under various network operating conditions are provided.