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$15 USD / hora
Bandera de INDIA
kolkata, india
$15 USD / hora
Aquí son las 12:13 p. m.
Se unió el diciembre 9, 2006
1 Recomendación

Chiranjibpatra P.

@chiranjibpatra

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4,9 (16 comentarios)
4,0
4,0
74%
74%
$15 USD / hora
Bandera de INDIA
kolkata, india
$15 USD / hora
88 %
Trabajos finalizados
100 %
Dentro del presupuesto
97 %
A tiempo
6 %
Tasa de recontratación

Researcher in WSN and Machine Learning

I use tools like Weka, java, Matlab, Mathematica, SPSS, JMP Pro, Python, C, C++ in my research work. I can work on writing great research papers, helping with assignments, as well as some real-time projects related to data mining, deep learning, Machine Learning, and Mathematics. I also provide excellent support in preparing for appearing Data Science papers as designed by Coursera or EdX platforms.

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4,0
$50,00 USD
gud job and on time
Java
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@vivekchirra1994
hace 7 años
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The project is not completed according to the dispute
Java
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Bandera de Shantanu C.
@shantanuu
hace 7 años
4,0
$25,00 USD
knowledgeable on the filed and work was perfect the only thing is he delivered the project too late and communication was not that clear from him.
PHP
Website Design
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@naifpp
hace 8 años
5,0
$155,00 USD
He did a great job!
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Bandera de Chavely J.
@chaveli101
hace 8 años
5,0
$160,00 USD
Excellent work, I highly recommend him
Java
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Bandera de Justin Z.
@SuperIQTest
hace 8 años

Experiencia

Assistant Professor and HOD of Information Technology

Calcutta Institute of Engineering and Management
ago 2005 - Presente
I have teaching experience in subjects like Theory of Computation, Programming Languages, Chemistry ,Physics and Mathematics. I also engage in research activities with hardware and software as a tool for research in sensor networks . My expertise is in Matlab, Mathematica, Java and tools like weka

Educación

PhD

Jadavpur University, India 2011 - 2015
(4 años)

MTech

Jadavpur University, India 2001 - 2002
(1 año)

Calificaciones

PhD

JADAVPUR UNIVERSITY
2019
Doctor of Philosophy in Mathematics and computing from reputed Indian university

Publicaciones

Topology Management in Wireless Sensor Networks

IGI Global
Topology management is a key component of network management of wireless sensor networks. The primary goal of topology management is to conserve energy while maintaining network connectivity. Topology management consists of knowing the physical connections and logical relationships among the sensors and at the same time creating a subset of nodes actively participating in the network, thus creating less communication and conserving energy in nodes

A reliable two-tier energy-efficient topology building algorithm for Wireless Sensor Networks

IEEE
In spite of various constraints present in Wireless Sensor Networks (WSN), it has become popular in various application domains which need useful information. Among these constraints, energy conservation is the most important aspect. One of the known strategies to save energy and to prolong the lifetime of the WSNs is topology control. In this paper, a reliable energy-efficient topology control algorithm in wireless sensor networks is proposed.

Vector ANT Colony Optimization and Travelling Salesman Problem

http://airccj.org
Fourth International Conference on Computer Science, Engineering and Applications (ICCSEA 2014), July 26 ~ 27 - 2014 Chennai, India

Calculation of the Duty Cycle for BECA

Foundation of Computer Science
Consumption of energy is one of the major problems in wireless sensor network, as sensor nodes driven on battery power. Therefore, it is intended to minimize the power consumption by putting the wireless interface of the sensor nodes in low power sleep mode. Wireless sensor networks constructed with hundreds and thousands of wireless sensor nodes and they deployed to solve different problems of our life

Analysing Topology Control Protocols in Wireless Sensor Network Using Network Evolution Model

Hindawi Publishing Corporation
In the study of wireless ad hoc and sensor networks, clustering is an important research problem as it aims at maximizing network lifetime and minimizing latency. A large number of algorithms have been devised to compute “good” clusters in a WSN but few papers have tried to characterize these algorithms in an analytical manner. In this paper, we use a local world model to understand and characterize the functioning of three tree based clustering algorithms.

Designing energy-efficient topologies for wireless sensor network: neural approach

Hindawi Publishing Corporation
Preserving energy or battery power of wireless sensor network is of major concern. As such type of network, the sensors are deployed in an ad hoc manner, without any deterministic way. This paper is concerned with applying standard routing protocols into wireless sensor network by using topology modified by neural network which proves to be energy efficient as compared with unmodified topology. Neural network has been proved to be a powerful tool in the distributed environment.

An Energy Efficient Event Based Hierarchical Clustering Algorithm for Wireless Sensor Networks

Springer Berlin Heidelberg
WSN's present a new challenge in current research works due to their unlimited potential. Sensor nodes operate with limited battery power, which is seldom replaced or recharged. So, energy utilization is an important constraint in designing routing protocols in WSN. In this paper, we proposed an event based hierarchical cluster based routing algorithm with the objective of reducing the energy consumption for creating the routing topology .

Using self organizing map in wireless sensor network for designing energy efficient topologies

IEEE
There are many challenges involving WSN design such as the energy resources optimization, the robustness and the network coverage. We address here the problem of energyefficient topology design. A well designed dynamic topology and efficient routing algorithms may allow a large reduction on the energy consumption. As such type of network, the sensors are connected in an ad-hoc manner, without any deterministic way

Modified rumor routing for wireless sensor networks

IJCSI
Abstract Due to the limited processing power, and finite power available to each sensor node, regular ad-hoc routing techniques cannot be directly applied to sensor networks domain. Thus, energy-efficient routing algorithms suitable to the inherent characteristics of these types of networks are needed. However highly efficient data centric model of routing will improve the longevity of the network.

Geographic adaptive fidelity and geographic energy aware routing in ad hoc routing

International conference
Location based routing protocols are the kinds of routing protocols, which use of nodes' location information, instead of links' information for routing. They are also known as position based routing. In position based routing protocols, it is supposed that the packet source node has position information of itself and its neighbors and packet destination node.

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