• Vivek S Deshpande, Associate Professor, MIT College of Engineering, Pune, India
• Nitika Vats Doohan, Associate Professor, Department of Information Technology, S D Bansal College of Technology, Indore, India

Duration : Four Hours (Half Day)

Payment : FREE, but registration is must.

Intended Audience : Attendees, Authors, Post Graduates and Researchers.

Reference : All research papers along with book reference (Wireless Sensor Networks: Theory and Applications, CRC Press)

Instructor’s biographical sketch:

Vivek S. Deshpande, Associate Professor, MIT College of Engineering, holds Bachelors and Masters of Engineering in Electronics and Telecommunications from Pune University, India. Currently he is doing a research in Wireless Sensor Networks, embedded systems and High Performance Computer Networks.

Wireless sensor networks, Body area networks, Quality of Service, Algorithm/Protocol development, Mobile Communications and mobility in WSN, Wireless Communications and networking in WSN, Information and Communications technologies in WSN, Simulation, Modeling and analysis and performance evaluations, Network management and services, Health care and home networking, Reviews and Applications: Social, health, sports, environmental, etc. The Rs.25 lacks of funded project “Highway Traffic Monitoring Systems (HTMS)” phase-I is done under his guidance. He guided the 10 person’s team of technical researchers. The innovation of palm tops based on Android ported on ARM is having great success of research project. Many industries achieve huge success in their research and development with the kind help of his technical consultancy. His 22 years of teaching and industrial experience is an asset to the organization. He is working as Associate Professor in Department of Information Technology, His expertise in the field of Wireless computer Networks and Distributed system helps in guidance to the PG students.

Abstract: A concise description of the tutorial’s content and goals:

Now-a-days Wireless Sensor Networks plays predominant role in the communication domain. The data to be disseminated from multiple sources to the destination base station or sink is having vital significance. There are many problems with which data can be conveyed up to the sink. The congestion, reliability, delay, fairness, etc. are of main concern. These can be treated as Quality of Service parameters that govern the performance of the WSN. Above all the Energy s consumption is the main constrain for WSN node. It is very difficult to obtain good QoS by keeping energy consumption low. Even if response of one of QoS parameter will depends on the many other QoS parameters. We have to take care of all QoS parameters to improve the performance of the wireless sensor networks. This Quality of Services may improve the application base of the WSN. With the QoS parameters the data dissemination along with energy optimization is get affected. We have to check the performance of the WSN against the QoS metrics for different data inputs. This may contain the periodic- non periodic data, event based data, transient or bursty data. For all these different types of inputs data we are checking the performance of QoS parameters like congestion, reliability and fairness.

Scope:

The design issues in WSNs are fault tolerance, scalability, production cost, Hardware constraints, the topology applied, their transmission media and power consumption. Fault tolerance deals with detection of node failure and setting of alternative path to reroute the packets. Different fault tolerance techniques used for different scenarios. The deployment of nodes is also variable depending upon the environment and must be scalable to maintain adequate performance. Hence, topology maintenance is researched to reduce energy consumption in WSNs. Each sensor node has a sensing unit, a processing unit, a transmission unit and a power supply unit. Nodes may have additional functionality devices with additional cost and also increases the power consumption. Therefore, all these need to be balance against cost and energy requirement. Node normally communicates using radio communication over ISM bands. Some of them also use optical or infra-red communication. Power consumption is the major challenge in WSNs. It depends upon the application i.e. continuous data relay or periodic relay of data. Data aggregation or data compression techniques are used to minimization of data transfer so that energy can be efficiently used.

Motivation and Objectives:

The tutorial may lead to new researcher to verify their results and excel their research work accordingly. The Quality of service is very important parameter to be considered while designing the sensor network. What is the different perspective to improve this QoS is the take away from this tutorial.