Dr. Balamuralidhar P graduated with a B.Tech in Electrical Engineering from Kerala University in the year 1985. He completed his Masters and obtained an M.Tech in Electrical Engineering from Indian Institute of Technology, Kanpur in 1987. He received his PhD in Cognitive Wireless Communications from Aalborg University, Denmark in 2013.
- Cyber Physical Systems
- Sensor Informatics
- Cognitive Wireless Communications & Networks
- Intelligent Embedded Systems
List of publications (PDF, 417 KB)
Exploring Qualitative Probabilistic Networks for Knowledge Modeling in Cognitive Wireless Networks
Conference details: International Conference on Wireless Communications and Mobile Computing, IWCMC-2013, Cagliari
The suitability of using Qualitative Probabilistic Networks (QPN) for knowledge modeling and inference in Cognitive Wireless Networks is studied in this paper. This can be considered as a light weight approach compared to the complexity associated with the use of Bayesian Networks. This study brings out the advantages and issues involved in using QPN for modeling the dynamic behavior of wireless networks. Application and limitations of using QPN is illustrated with the modeling of a cognitive radio link and subsequently its performance while driving a link adaptation. The same methodology is extendable to model network layer behaviors as well.
Software Platforms for Internet of Things and M2M
Authors: P Balamuralidhar, Prateep Misra, Arpan Pal
The technologies and applications consolidated under the vision of Internet of Things (IoT) and Machine to Machine Communications (M2M) are attracting the interest of businesses and poised to trigger next disruption in Information & Communication Technology (ICT) applications. The domain specific solutions involving sensors, mobile phones and other devices are maturing to integrate in a generic ICT services paradigm. Architecture for a unified horizontal services platform is emerging. This paper surveys important trends, key requirements, evolving technologies and emerging solutions for such a software platform for IoT and M2M services.
A reconfigurable upper audio band modem for data communication between mobile devices
Authors: Rahul Sinha, P. Balamuralidhar & Rajeev M. Bhujade
Abstract For communicating short data sequences over small distances, the use of devices with conventional wireless radio frequency interfaces requires standardized hardware, dedicated infrastructure and appropriate Link/ Network layer protocols. To address challenges associated with these requirements, a communication mechanism using devices which support simple audio interfaces (speakers and microphones) is proposed using the upper audio band (UAB) of frequencies (16–20 kHz). Devices with audio interfaces can be deployed in a personal area network for communicating at low data rates over small distances. Multi-tone FSK modulation is used for transmitting Reed–Solomon encoded data over the UAB. For peer-to-peer communication applications, a sensing mechanism is enabled on the receiving device to sense for empty time–frequency slots and schedule its data transmission at the appropriate times. A system prototype is developed using portable speakers and smartphones with sensitive microphones. The effective throughput of the modem is evaluated for different sensing durations and distances. Ad-hoc peer-to-peer networks can be enabled between mobile devices for communicating short data sequences based on the UAB modem.