This article discusses the selection of a suitable frequency band for the wireless sensor network, calculation of channel capacity, noise levels, SNR, required transmission signal strength, functionalities for cloud application, and use of IoT platform. It also includes a bibliography.
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Running head: WIRELESS NETWORKS AND COMMUNICATION Wireless Networks and Communication Name of the Student Name of the University Author’s Note
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1 WIRELESS NETWORKS AND COMMUNICATION Table of Contents a. Selection of a suitable frequency band for the Wireless sensor network...............................2 b. Calculation of the channel capacity.......................................................................................2 I.Sensing device to control centre channel........................................................................2 II.Control centre to ISP channel.........................................................................................2 c. Calculation of the noise levels experienced...........................................................................2 I.Thermal noise..................................................................................................................2 II.Total noise experienced...................................................................................................3 d. Maintaining SNR of 63..........................................................................................................3 I.Calculation of signal power received at the control centre.............................................3 II.Calculation of bandwidth of the sensing device.............................................................3 III.Bandwidth used for the multiplexed channel on use of FDM scheme........................3 e. Calculation of the maximum free space experienced by the signals sent from the sensors...3 f. Determination of the required transmission signal strength...................................................4 g. Functionalities for the cloud application to effectively use sensor data................................4 h. Use of IoT platform for the implementation of the WSN......................................................4 Bibliography...............................................................................................................................5
2 WIRELESS NETWORKS AND COMMUNICATION a. Selection of a suitable frequency band for the Wireless sensor network For the development of the wireless sensor network the 5.0 Ghz band should be divided into 2500 channels and the 2 Mhz bandwidth is allocated for each of the channel. For avoiding the overlapping of the bandwidth three channels can be utilized at a same time. b. Calculation of the channel capacity I.Sensing device to control centre channel The channel capacity required for sensing device to the control centre channel is = 5kbps Shannon theorem is used for the calculation of the capacity of the channel. The channel capacity is calculated as (number of bits per channel use – signal) Thus the minimum data rate required is 5kbps II.Control centre to ISP channel The channel capacity of the control centre to the ISP channel is 5 kb * 2500 = 12500 kbps. => 12500/1024 => 12.20 mbps c. Calculation of the noise levels experienced I.Thermal noise Channel 1 Noise voltage = 63.61899366μV RMS Noise Power = -76.9dBm Channel 2
3 WIRELESS NETWORKS AND COMMUNICATION Noise voltage = 1.27237987μV RMS Noise Power = -110.9 dBm II.Total noise experienced Noise power = -187.8 dBm d. Maintaining SNR of 63 I.Calculation of signal power received at the control centre SNR = Psignal/ Pnoise= μ/σ => 63 = Psignal/ x => Psignal= 63 *-76.9 II.Calculation of bandwidth of the sensing device 5 kbps III.Bandwidth used for the multiplexed channel on use of FDM scheme 5 * 2500 = 12500 khz = 12.5 Mhz e. Calculation of the maximum free space experienced by the signals sent from the sensors FSPL = 20 log10(d) + 20 log10(f) + 20 log10(4π/c) – Gt- Gr Free Space Path Loss:85.96 dB
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4 WIRELESS NETWORKS AND COMMUNICATION f. Determination of the required transmission signal strength The required transmission signal strength in case of attenuation and fading in the signal power during the propagation of the data packet from the control centre to the sensor g. Functionalities for the cloud application to effectively use sensor data The use of the cloud platform for storage of the data generated from the IoT device is an ideal solution because a huge amount of data is generated from the wireless sensor network due to the daily activity. The cloud service is used for handling the data as it is flexible and provides powerful framework for delivering the required service to the farm. The cloud solution required minimum interaction and reduces the complexity of the system for reducing the management effort. It can be used for remotely accessing the information and different web application can be used for the management of the data. h. Use of IoT platform for the implementation of the WSN The installation of the IoT sensors as a tag for each of the animal of the farmhouse helps in getting the location of the animals and track on the activity of the animals. The use of the IoT platform helps in sharing the information using a centralized approach. The IoT devices can be installed in distributed location for getting information from the location. It helps in reducing the cost of the wires and minimizing the installation cost of the wireless network.
5 WIRELESS NETWORKS AND COMMUNICATION Bibliography Bies, D. A., Hansen, C., & Howard, C. (2017).Engineering noise control. CRC press. Da Xu, L., He, W., & Li, S. (2014). Internet of things in industries: A survey.IEEE Transactions on industrial informatics,10(4), 2233-2243. Fadel, E., Gungor, V. C., Nassef, L., Akkari, N., Malik, M. A., Almasri, S., & Akyildiz, I. F. (2015).Asurveyonwirelesssensornetworksforsmartgrid.Computer Communications,71, 22-33. Fisher, R., Ledwaba, L., Hancke, G., & Kruger, C. (2015). Open hardware: A role to play in wireless sensor networks?.Sensors,15(3), 6818-6844. Gong, M. X., Hart, B., & Mao, S. (2015). Advanced wireless LAN technologies: IEEE 802.11 ac and beyond.GetMobile: mobile computing and communications,18(4), 48- 52. Hasegawa, H., Yasuda, T., Mori, Y., & Sato, K. I. (2018, March). Fragmentation-Minimized Transponder Upgrading Employing Channel Bandwidth Aligned Slot Allocation in Flexible Grid Optical Networks. InOptical Fiber Communication Conference(pp. M3J-6). Optical Society of America. Khan, A. A., Rehmani, M. H., & Reisslein, M. (2016). Cognitive radio for smart grids: Surveyofarchitectures,spectrumsensingmechanisms,andnetworking protocols.IEEE Communications Surveys & Tutorials,18(1), 860-898. Lee, I. E., Guo, Y., Ng, T. K., Park, K. H., Alouini, M. S., & Ooi, B. S. (2017, July). Bandwidth enhancement of wireless optical communication link using a near-infrared laser over turbid underwater channel. InLasers and Electro-Optics Pacific Rim (CLEO-PR), 2017 Conference on(pp. 1-5). IEEE.
6 WIRELESS NETWORKS AND COMMUNICATION Li, S., Da Xu, L., & Zhao, S. (2015). The internet of things: a survey.Information Systems Frontiers,17(2), 243-259. Wu, Y., Qian, L., Mao, H., Lu, W., Zhou, H., & Yu, C. (2017, September). Joint Channel Bandwidth and Power Allocations for Downlink Non-Orthogonal Multiple Access Systems. InVehicular Technology Conference (VTC-Fall), 2017 IEEE 86th(pp. 1-5). IEEE. Yang, J., Zhou, J., Lv, Z., Wei, W., & Song, H. (2015). A real-time monitoring system of industrycarbonmonoxidebasedonwirelesssensornetworks.Sensors,15(11), 29535-29546. Zakaria, Y., & Michael, K. (2017). An Integrated Cloud-Based Wireless Sensor Network for Monitoring Industrial Wastewater Discharged into Water Sources.Wireless Sensor Network,9(08), 290.