Final year WSN Project ppt final updated.pptx
- 1. POWER MANAGEMENT IN EXISTING WIRELESS SENSOR NETWORKS GROUP 37 : DIVANKER SAXENA DURGESH KUSHWAHA AVANISH RAI PROJECT GUIDE NAME : Dr. MANISH SINGH
- 2. What Is Wireless Sensor Network • Wireless sensor networks (WSNs) refer to networks of spatially dispersed and dedicated sensors that monitor and record the physical conditions of the environment and forward the collected data to a central location. WSNs can measure environmental conditions such as temperature, sound, pollution levels, humidity and wind • Sensor nodes are used in WSN with the onboard processor that manages and monitors the environment in a particular area. They are connected to the Base Station which acts as a processing unit in the WSN System. • Base Station in a WSN System is connected through the Internet to share data.
- 3. The whole sensor network can be divided basically into FOUR subparts as below -: Sensing unit >> Sensors Nodes >> Analog-to-Digital Converter (ADC) Processing unit Transceiver unit Power unit
- 4. Illustrative pic of 5 node sensor network BASE STATION NODES NETWORK
- 6. CHALLENGES OF WSNs Power Consumption Security Hardware design Operating environment
- 7. Power Consumption Management Power management is a major Issue which one may face not for this sensor networks but for every device we encounter in our Day to Day Life . Therefore, it is very necessary to design of power aware algorithms and protocols for WSN . So , we would be basically dealing with Power Management of WSN equipped with (1.5 V AA Alkaline Batteries) . Which would be most probably done using MATLAB software .
- 8. What is MATLAB MATLAB is a programming platform designed specifically for engineers and scientists to analyze and design systems and products that transform our world. The heart of MATLAB is the MATLAB language, a matrix-based language allowing the most natural expression of computational mathematics
- 9. characterization parameters and lifetime improvement techniques of “WSN“ (wireless sensor network)
- 10. Characterization Parameters Besides Energy Power consumption various Characterization Parameters which needs to be considered for an optimum deployment of an energy efficient WSN as they also have great impact on WSN performance : Some of the Characterization Parameters are as follows : • coverage and connectivity • communication and modulation schemes • operational environment • network parameters • node parameters and service parameters
- 11. Network lifetime improvement techniques Network lifetime is defined as time duration for which sensor network is able of maintaining its complete functionality and attaining specific goal during its operation Following lifetime enhancement schemes are used for “Network lifetime improvement techniques ” are : • Sleep–wake scheduling • Routing • MIMO system
- 12. Sleep–wake scheduling Once the data has been collected by sensor nodes, they perform the transmission of data to the base station. Still, it must be carefully considered that which particular group of sensor nodes should transfer their information to the destination node at which time. The sleep–wake scheduling approach presents a spatially balanced allocation of the energy distribution. In duty cycle approach, sensor nodes woke up at their schedule time and data transmission take place at that time. It lessens the energy consumption in the WSN, but communication delays can take place in this approach. And therefore it fails in Real Time Data Processing .
- 13. Routing The selection of suitable routing schemes is very important in WSN. The routing scheme is required for transmitting the information between the nodes and the base stations, to establish communication. The routing issue can decrease the network lifetime and increase the energy consumption. Hence, optimizing the paths can improve the network lifetime .
- 14. MIMO system The multiple-input multiple-output (MIMO) techniques require less power than SISO techniques for long distance communication However, directly embedded multiple antenna scheme for a node is impractical because the physical size of node cannot support multiple antenna . As conventional MIMO schemes fails to yield normal performance. Therefore implementation of CMIMO with the cooperation of single antenna among nodes resolves the size limitation issue .
- 15. The main difference between CMIMO and MIMO is that : • In CMIMO, every node is only outfitted with one antenna and sensor nodes are situated in various areas and sensor nodes use time-division half-duplex transmissions. • CSMA/CA (carrier-sensed multiple accesses with collision avoidance) protocol is used, because they cannot transmit and receive data simultaneously
- 16. -: for The multiple- input multiple-output (MIMO) Technique Of Network lifetime improvement MATLAB code
- 17. OUTPUT OF ENERGY CONSUMPTION IN SISO AND MIMO WITH RESPECT TO TRANSMISSION DISTANCE Output Graph :
- 18. Applications of WSN • Industrial Applications • Environmental Applications • Precision Agriculture • Healthcare Applications