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Author

Mrinal Kanti Naskar

Other affiliations: IBM
Bio: Mrinal Kanti Naskar is an academic researcher from Jadavpur University. The author has contributed to research in topics: Wireless sensor network & Handover. The author has an hindex of 15, co-authored 174 publications receiving 949 citations. Previous affiliations of Mrinal Kanti Naskar include IBM.


Papers
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Proceedings ArticleDOI
26 Jul 2012
TL;DR: An attempt has been made to create clusters by considering direction, position and relative speed of the vehicle for managing the scalability issue, and a new algorithm for selecting the most appropriate cluster head (CH) by considering the real time updated position and trust value of vehicles is proposed.
Abstract: Inter-vehicle communication is a promising way to share and disseminate real-time and nearby safety information on the road. Scalability of vehicular ad hoc network is one of the decisive matters for a network designer, which can be solved by clustering. In this paper, as our first algorithm an attempt has been made to create clusters by considering direction, position and relative speed of the vehicle for managing the scalability issue. Moreover, we have proposed a new algorithm for selecting the most appropriate cluster head (CH) by considering the real time updated position and trust value of vehicles. As, evolutionary based routing is a predominant research theme thus we have used the most efficient ant colony routing technique based on trust for the simple highway scenario based VANET. Finally simulation result shows our proposed Trust dependent Ant Colony Routing (TACR) has outperformed the Mobility-aware Ant Colony Optimization Routing (MAR-DYMO) algorithm in terms of routing overhead.

55 citations

Journal ArticleDOI
TL;DR: A forecasting model designed using WSNs ( Wireless Sensor Networks) to predict flood in rivers using simple and fast calculations to provide real-time results and save the lives of people who may be affected by the flood.
Abstract: This paper presents a forecasting model designed using WSNs (Wireless Sensor Networks) to predict flood in rivers using simple and fast calculations to provide real-time results and save the lives of people who may be affected by the flood. Our prediction model uses multiple variable robust linear regression which is easy to understand and simple and cost effective in implementation, is speed efficient, but has low resource utilization and yet provides real time predictions with reliable accuracy, thus having features which are desirable in any real world algorithm. Our prediction model is independent of the number of parameters, i.e. any number of parameters may be added or removed based on the on-site requirements. When the water level rises, we represent it using a polynomial whose nature is used to determine if the water level may exceed the flood line in the near future. We compare our work with a contemporary algorithm to demonstrate our improvements over it. Then we present our simulation results for the predicted water level compared to the actual water level.

53 citations

Journal ArticleDOI
TL;DR: In this paper, the authors presented a forecasting model using WSNs to predict flood in rivers using simple and fast calculations to provide real-time results and save the lives of people who may be affected by the flood.
Abstract: This paper presents a forecasting model designed using WSNs( Wireless Sensor Networks) to predict flood in rivers using simple and fast calculations to provide real-time results and save the lives of people who may be affected by the flood. Our prediction model uses multiple variable robust linear regression which is easy to understand and simple and cost effective in implementation, is speed efficient, but has low resource utilization and yet provides real time predictions with reliable accuracy, thus having features which are desirable in any real world algorithm. Our prediction model is independent of the number of parameters, i.e. any number of parameters may be added or removed based on the on-site requirements. When the water level rises, we represent it using a polynomial whose nature is used to determine if the water level may exceed the flood line in the near future. We compare our work with a contemporary algorithm to demonstrate our improvements over it. Then we present our simulation results for the predicted water level compared to the actual water level.

45 citations

Journal ArticleDOI
TL;DR: Most of the work that has been done so far in the application of compressive sampling in wireless sensor networks is reviewed so that the scientific community has a clear understanding of the immense potential CS holds for this field of study.
Abstract: When Donoho and Candes, Rosenberg and Tao separately introduced the concept of compressive sampling (CS) to the scientific community, the entire basis of traditional sampling was at jeopardy. Of course, what Nyquist had said still holds and is unquestionable, but to achieve communication standards at par with the traditional ones but with far fewer samples, is something that drove hundreds to work in this particular area of research. Since that time till now, it has been explored in various areas of science and engineering like astrophysics, optics, etc. and image processing, array processing and radar, distributed processing, networking, respectively. Among these, the application of CS in wireless sensor networks is our topic of elucidation here. Our paper aims to review most of the work that has been done so far in the above-mentioned area, so that the scientific community has a clear understanding of the immense potential CS holds for this field of study.

43 citations

Proceedings ArticleDOI
01 Dec 2016
TL;DR: A door unlocking system containing multiple doors any of which can be used to access a certain zone e.g. a laboratory or library, implemented using a central server which contains a central database gathering all the information about the authorized personnel.
Abstract: The system proposed is a door unlocking system containing multiple doors any of which can be used to access a certain zone e.g. a laboratory or library. The system is implemented using a central server which contains a central database gathering all the information about the authorized personnel. The hardware components required are RFID reader, passive RFID tags, wireless transmitter & receiver (433 MHz) and an Arduino microcontroller. Software assistance of Arduino IDE and Processing Development Environment (PDE) are required for control. There is also provision for real-time monitoring of users' activities i.e. entry and exit. This is made possible by automatic synchronization of the system with a secured webpage via internet.

28 citations


Cited by
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Journal Article
Shi Bing1
TL;DR: Text categorization-assignment of natural language texts to one or more predefined categories based on their content-is an important component in many information organization and management tasks.
Abstract: Text categorization-assignment of natural language texts to one or more predefined categories based on their content-is an important component in many information organization and management tasks.Different automatic learning algorithms for text categori-zation have different classification accuracy.Very accurate text classifiers can be learned automatically from training examples.

384 citations

Journal ArticleDOI
TL;DR: This paper explores the design choices made in the development of clustering algorithms targeted at VANETs and presents a taxonomy of the techniques applied to solve the problems of cluster head election, cluster affiliation, and cluster management, and identifies new directions and recent trends in the design of these algorithms.
Abstract: A vehicular ad hoc network (VANET) is a mobile ad hoc network in which network nodes are vehicles—most commonly road vehicles. VANETs present a unique range of challenges and opportunities for routing protocols due to the semi-organized nature of vehicular movements subject to the constraints of road geometry and rules, and the obstacles which limit physical connectivity in urban environments. In particular, the problems of routing protocol reliability and scalability across large urban VANETs are currently the subject of intense research. Clustering can be used to improve routing scalability and reliability in VANETs, as it results in the distributed formation of hierarchical network structures by grouping vehicles together based on correlated spatial distribution and relative velocity. In addition to the benefits to routing, these groups can serve as the foundation for accident or congestion detection, information dissemination and entertainment applications. This paper explores the design choices made in the development of clustering algorithms targeted at VANETs. It presents a taxonomy of the techniques applied to solve the problems of cluster head election, cluster affiliation, and cluster management, and identifies new directions and recent trends in the design of these algorithms. Additionally, methodologies for validating clustering performance are reviewed, and a key shortcoming—the lack of realistic vehicular channel modeling—is identified. The importance of a rigorous and standardized performance evaluation regime utilizing realistic vehicular channel models is demonstrated.

379 citations

Book ChapterDOI
07 Feb 2008
TL;DR: In this article, product definition for broadband wireless systems technology drivers Evolving Wireless Broadband Market Segments Open Systems and Intelligence at the Edge Radio Network System Engineering References are discussed. But the focus of this paper is not on wireless networks.
Abstract: This chapter contains sections titled: Product Definition for Broadband Wireless Systems Technology Drivers Evolving Wireless Broadband Market Segments Open Systems and Intelligence at the Edge Radio Network System Engineering References

293 citations

Book
01 Jan 2012

291 citations