Reliability of Mobile Wireless Sensor Networks

Samrajyam Singu

Abstract


The emergence of mobility in the field of mobile wireless sensor networks (MWSNs) has become a trendy feature in this high-tech environment. The mobility of nodes expands the range of applications for Wireless Sensor Networks (WSNs). There are several difficulties that impact network performance, such as dynamic topology, time delays, dependability, data loss, and so on. Mobility creates additional issues for traditional static WSN design. Reliability and stability are two major constraints affecting MWSN network performance. It has a wide range of applications.

References


Whig, Pawan, and Syed Naseem Ahmad. "DVCC based Readout Circuitry for Water Quality Monitoring System." International Journal of Computer Applications 49.22 (2012): 1-7.

M. Tunguturi, “Artificial intelligence and machine learning in the enterprise”, IJSCS, vol. 2, no. 1, pp. 1–10, Dec. 2010.

Rupani, Ajay, et al. "A robust technique for image processing based on interfacing of Raspberry-Pi and FPGA using IoT." 2017 International Conference on Computer, Communications and Electronics (Comptelix). IEEE, 2017.

Mahesh Tunguturi, More On Principles and Applications of Big Data Analytics , International Journal of Statistical Computation and Simulation: Vol. 1 No. 1 (2009): IJSCS

Mahesh Tunguturi, More on Big data to the world , International Journal of Statistical Computation and Simulation: Vol. 3 No. 1 (2011): IJSCS

Mahesh Tunguturi, Samrajyam Singu, The growth of Bigdata in Information Technology , International Journal of Statistical Computation and Simulation: Vol. 4 No. 1 (2012): IJSCS

Samrajyam Singu, Mahesh Tunguturi, Fundamental standards and uses of big data analytics , International Journal of Statistical Computation and Simulation: Vol. 5 No. 1 (2013): IJSCS

Mahesh Tunguturi, Samrajyam Singu, Latest machine learning applications across the globe , International Journal of Statistical Computation and Simulation: Vol. 6 No. 1 (2014): IJSCS

Samrajyam Singu, Mahesh Tunguturi, More on Neural community and fuzzy device , International Journal of Statistical Computation and Simulation: Vol. 6 No. 1 (2014): IJSCS

Mahesh Tunguturi, Samrajyam Singu, Latest machine learning applications across the globe , International Journal of Statistical Computation and Simulation: Vol. 7 No. 1 (2015): IJSCS

Samrajyam Singu, Mahesh Tunguturi, Fundamentals and awareness of robotics , International Journal of Statistical Computation and Simulation: Vol. 7 No. 1 (2015): IJSCS

Mahesh Tunguturi, Samrajyam Singu, Automation of human behaviors and its prediction , International Journal of Statistical Computation and Simulation: Vol. 8 No. 1 (2016): IJSCS

Samrajyam Singu, Mahesh Tunguturi, Smart agriculture utility the use of fog-iot , International Journal of Statistical Computation and Simulation: Vol. 8 No. 1 (2016): IJSCS

Mahesh Tunguturi, Samrajyam Singu, Extremely Low strength design for Water Purification , International Journal of Statistical Computation and Simulation: Vol. 9 No. 1 (2017): IJSCS

Mahesh Tunguturi, Samrajyam Singu, A new method on provider Description support Customization , International Journal of Statistical Computation and Simulation: Vol. 9 No. 1 (2017): IJSCS

Whig, Pawan, and Syed Naseem Ahmad. "A CMOS integrated CC-ISFET device for water quality monitoring." International Journal of Computer Science Issues 9.4 (2012): 1694-0814.


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