Work place: Department of Computer Science & Engineering, Institute of Engineering & Management, Kolkata, India
E-mail: shashwata275@gmail.com
Website:
Research Interests: Computational Learning Theory, Analysis of Algorithms, Mathematics of Computing, Theory of Computation, Models of Computation
Biography
Shashwata Mandal was in the Department of Computer Science & Engineering at Institute of Engineering & Management, Kolkata, India. He is currently an Associate Software Engineer at Nomura Research Institute Financial Technologies Limited. His research interests include robotics, machine learning, and Internet of Things. He is a member of ACM and IEEE.
By Himadri Nath Saha Shashwata Mandal Shinjan Mitra Soham Banerjee Urmi Saha
DOI: https://doi.org/10.5815/ijcnis.2017.07.05, Pub. Date: 8 Jul. 2017
Among the common wireless communication modules like Bluetooth and Wi-Fi, XBee modules are embedded solutions providing wireless communication standard with self-healing mesh networks, which has longer range than Bluetooth and lower power consumption than Wi-Fi. An alternative to the XBee radio modules is nRF24L01+ radio modules which are cheap and powerful, highly integrated, ultra-low power (ULP) 2Mbps RF transceiver ICs for the 2.4GHz ISM (Industrial, Scientific, and Medical) band. In this paper, performances of nRF24L01+ modules have been analyzed and compared with that of XBee ZB modules in wireless ad-hoc networks. The performance metrics for the analytical study are - 1) Throughput measurement, 2) Mesh routing recovery time and 3) Power consumption. This work has revolved around an open source library released by the developer, tmrh20 which builds a complete TCP/IP suite on top of the nRF24L01+ modules.
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