MIT-World Peace University (MIT-WPU) is a top educational institute located in Pune, India. It is recognized within&nbsp;UGC under Government of Maharashtra Act No. XXXV 2017.&nbsp;

It is part of the MIT group of institutions (established in 1983) which covers 10+ campuses across India and has more than 50,000+ students enrolled across various disciplines at a given point of time. The institute houses 15 schools ranging from Engineering &amp; Technology, Design, Pharmacy, Commerce, Governance among others. It offers undergraduate, postgraduate and PhD programs among different disciplines.&nbsp;

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MIT World Peace University

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School of Electronics & Communication Engineering

Engineering and Technology

Lecture Notes in Electrical Engineering

Implementation of an Efficient Handover Algorithm on AP Using Software-Defined Wi-Fi Systems

In Machine-to-Machine (M2M) methods, there may have number of devices to communicate with the base stations (BSs) parallely and constantly. In this manner, there is need to have efficient solution for energy efficiency and quality of service (QoS) efficiency performances in M2M networks. This can be possible by designing the algorithms for MAC protocol. This project is presenting the novel energy harvesting algorithm for MAC protocol with a specific end goal to achieve the improved throughput and delay performances. In proposed MAC protocol, different wireless nodes initially harvest their energy adaptively and then involved in the processing of information transmission to minimize the delay and optimize the throughput. The main contribution while designing MAC protocol is use of dual sensing method to improve the throughput, delay and energy efficiency performances. This approach identifies the deafness, takes care of the concealed terminal issue and keeps the pointless hindering in M2M correspondences. © 2018 IEEE.

Proceedings of the 2nd International Conference on Intelligent Computing and Control Systems, ICICCS 2018

An Efficient MAC Protocol for Machine-to-Machine Networks Using Dual Sensing Strategy

Underwater acoustic sensor networks (UASNs) are used to explore underwater environment, study aquatic life and gather data regarding geographical variations. Since the communication medium used in UASN is water, they are different from other networks. Major Challenges that affect data transmission include higher energy consumption, higher propagation delay and low bandwidth. The proposed method reduces the energy consumption of the network. Firstly the node forms a group of forwarding nodes based on fitness factor and density (i.e. no. of neighbor present around source node). Among the group of forwarding nodes, the node having maximum packet delivery ratio and highest energy is selected using fuzzy logic based relay selection (FLSR). As huge amount of energy is wasted during collisions among packets while transmission. Since the sensor nodes have restricted energy, the main challenge is to send packet till destination. Therefore to counter this problem, holding time is set for each of the group of relay nodes to avoid collisions. The simulations are performed in Aqua-sim and the results are compared with other protocols. © 2018 IEEE.

Energy Efficient Routing Protocol for Underwater Acoustic Sensor Network

The implementable decoders and large collection of data transmission and storage channels can be admitted at the same time using low density parity check (LDPC) group of Linear block codes. We will review some of the LDPC construction techniques and encoding problem for LDPC codes. Also certain special classes of LDPC codes which will resolve encoding problems will be introduced. Performance analysis and design optimization of LDPC coded multiple input multiple output(MIMO) orthogonal frequency division multiplexing(OFDM) has been considered. The tools of density evolution with mixture Gaussian approximations are used to optimize LDPC codes which are not regular and to compute minimum operational signal-to-noise ratios (SNRs) for ergodic MIMO-OFDM channels. In particular, the optimization is done for various MIMO-OFDM system configurations, which include a different channel models and different demodulation schemes; the performance which is optimized is checked with the corresponding channel capacity. The iterative message passing decoding algorithm which gives optimal performance will be presented. The performance of turbo-iterative receiver that consists of a soft maximum a posteriori (MAP) demodulator will be presented. From the LDPC profiles that already are optimized for ergodic channels, we construct small block-size irregular codes for outage MIMO-OFDM channels. © 2016 IEEE.