Dr Om Jee Pandey Two research papers of Dr Om Jee Pandey, Assistant Professor, Department of Electronics and Communication Engineering, have been accepted in reputed IEEE Journals. The papers titled “Multiuser Full-Duplex IoT Networks with Wireless-Powered Relaying: Performance Analysis and Energy Efficiency Optimization,” and “Time Synchronized Node Localization Using Optimal H-Node Allocation in a Small World WSN” are going to be published in IEEE Transactions on Green Communications and Networking and IEEE Communications Letters, respectively. The paper “Multiuser Full-Duplex IoT Networks with Wireless-Powered Relaying: Performance Analysis and Energy Efficiency Optimization,” was pursued in collaborations with Prof. Ha H. Nguyen, Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, Canada, and Dr Mahendra K. Shukla, who is associated with Macau University of Science and Technology as a Post Doctoral Fellow.
Block diagram of the full-duplex
wireless-powered relay based on power splitting There has been a growing interest in improving energy efficiency for next-generation Internet of Things (IoT) networks due to the increasing demand for green communications. Motivated by this demand, energy efficiency maximization has been investigated for several networks. Specifically, without considering simultaneous wireless information and power transfer networks, various works have extensively studied energy efficiency maximization for half-duplex networks and full-duplex networks. Further, by considering simultaneous wireless information and power transfer networks, several works have examined energy efficiency maximization in half-duplex networks. Moreover, energy efficiency for next-generation IoT networks with simultaneous wireless information and power transfer has also been studied by considering half-duplex transceivers. It appears that energy efficiency problems for multiuser full-duplex IoT networks have not been studied in the open literature.
Multiuser FD-IoT network with
wireless-powered TWR Motivated by the above discussion, in this work we consider a full-duplex IoT network in which a multi-antenna access point and several single antenna IoT devices exchange information bidirectionally with the aid of a wireless-powered single-antenna relay, under generalized Nakagami-m fading channels. In particular, we consider the power splitting protocol at the full-duplex relay terminal, and each communication terminal operates in the full-duplex mode. For such a network, we first formulate the instantaneous end-to-end signal-to-interference-plus-noise ratios (SINRs) by employing maximum-ratio transmission (MRT) beamforming and maximum-ratio combining (MRC) at the access point A, as well as IoD scheduling. Then, based on the obtained SINRs, we evaluate the overall outage probability and ergodic sum-rate of the network. Furthermore, we develop an optimal power allocation to maximize the network’s EE.
Integral area for the
overall outage probability Recently, with many technological advancements in wireless data transmission, IoT is expected to affect all aspects of our daily lives with its ever-growing and emerging applications. Traditional wireless communication networks are usually limited by the operational time of energy-constrained devices, and therefore energy consumption minimization is a crucial factor in IoT networks. Simultaneous wireless information and power transfer have emerged as a sustainable solution to the scenarios where replacing or recharging batteries is very costly, and may even be impossible. The basic idea of simultaneous wireless information and power transfer is that since radio frequency signals can carry information and energy at the same time, the received radio frequency signals can be utilized for energy harvesting to keep the energy-constrained devices operational. Existing studies adopt two different protocols, namely time switching and power switching, to implement simultaneous wireless information and power transfer receiver architecture. With these protocols, either the power or time of the received signal is split so that one part is used for information processing, and the other is used for energy harvesting.
The proposed research can play a crucial role in societal development as it can be applied in developing many state-of-the-art applications in the areas related to green healthcare systems, energy-efficient agriculture systems, green transportation, low power home automation, green manufacturing, low power smart utilities, and energy-efficient industries etc.
His other paper “Time Synchronized Node Localization Using Optimal H-Node Allocation in a Small World WSN”, DOI (identifier) 10.1109/LCOMM.2020.3008086, has been done in collaborations with Prof. Rajesh M Hegde, Department of Electrical Engineering, IIT Kanpur and Dr Mahendra K. Shukla, Post Doctoral Fellow at Macau University of Science and Technology. To know more about Dr Pandey’s work in the domain of Small-World Wireless Sensor Network, visit- https://srmap.edu.in/news/dr-om-jee-pandey-small-world-wireless-sensor-network-help-making-smart-applications-industries/.
Dr Pandey is now not only working for the commercial applications of his current research but also has devoted himself to his future projects, that include-
Full-Duplex Network Development for Green Healthcare Systems.
Energy-Efficient Cyber-Physical Systems and Internet of Things.
Development of Energy-Efficient Agriculture Systems.
Green and Intelligent Transportation over Full-Duplex Context-Aware Pervasive Systems.
SRM University AP-Andhra Pradesh has collaborated with the Indian Institute of Remote Sensing (IIRS) -Indian Space Research Organization (ISRO)’s outreach programme. SRM AP is included among the top-notch universities of India that can benefit from the incomparable Outreach Programme. As part of the association, the students of SRM AP will have the excellent opportunity to register for annual courses as well as live and interactive programmes being organized by IIRS. In addition, E-learning courses for a short span of 3-4 Month duration will be accessible by the students.
ISRO is among the best-performing government organizations in India which has mastered the sophisticated space technologies, along with receiving applauds globally. The organization’s brilliant research and development, and applications for societal benefits like tele-education, telemedicine, disaster management, agriculture, fisheries and infrastructure development, ensures its dominance in the world. ISRO has launched the IIRS Outreach Programme to strengthen academia in terms of Space Technology & its applications through online learning platforms.
The popularity of remote sensing, geographical information system, global navigation satellite system and associated geospatial technologies in the current times require trained manpower in the domain. The students of SRM AP are encouraged to proactively avail the interactive distance learning courses and webinars that will enable the students to achieve their career goals in aerospace and geospatial technologies and make a mark globally.
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Dr Om Jee Pandey, Assistant Professor, Department of Electronics and Communication Engineering, has recently published two papers in renowned IEEE journals. His paper “Secrecy Performance Analysis of Two-way Relay Non-Orthogonal Multiple Access Systems” was published in IEEE Access Journal, having an impact factor: 4.06. Whereas, “Fault-Resilient Distributed Detection and Estimation over an SW-WSN Using LCMV Beamforming” was published in IEEE Transactions in Network and Service Management (Impact factor: 4.682). The study was done in associations with Prof. Rajesh M Hegde, Department of Electrical Engineering, IIT Kanpur and Prof. Ha H. Nguyen, Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, Canada. His research was focused on developing efficient Wireless Sensor Network services in small-world models. The proposed research can be applied in developing many state-of-the-art applications in the areas related to healthcare systems, climate-smart agriculture, intelligent transportation, home automation, manufacturing, smart utilities, and industries etc.
In order to develop efficient Wireless Sensor Network (WSN) services, several methods have been proposed for node localization, clustering of sensor nodes, new routing algorithms, adaptive duty cycles, usage of mixed-transmission models, placement of intelligent gateways, usage of mobile elements, and bypassing holes. However, the introduction of small-world characteristics in a WSN has hitherto not been used in this context. A small-world network is typically characterized by a low average path length and high average clustering coefficient and has been widely used to model social networks. However, small world models have not been used in the development of WSN. The primary objective of this research is to develop small world models for WSN services such as sensor node localization, data gathering, data fusion, network lifetime maximization, energy-balancing, reduced data transmission delay, time synchronization, energy-harvesting, and robust distributed detection and estimation. A small world WSN reduces the number of hops required for data transmission, and maximal utilization of sensor nodes closer to the sink. Other advantages of small world WSN include efficient bandwidth utilization, increased network lifetime, and fast convergence of event detection and parameter estimation. Small world WSN developed in tandem with novel routing strategies leads to improved WSN services for various applications.
In WSNs, sensor devices transfer the data cooperatively using multiple hops over a network. Multiple hops required for data transmission over a WSN leads to reduced network performance in the context of device localization, energy efficiency, energy balancing, data latency, speed of event detection and parameter estimation, and network robustness. This is because of poor distance estimation between sensor device pairs, maximum utilization of sensor devices closer to the sink, and a short radio range of sensor devices. Hence, the primary focus of this research work is to reduce the number of hops required for data transmission. In this context, Small World Characteristics (SWC) can be introduced in a WSN, leading to a small world WSN (SW-WSN). An SW-WSN is a well-connected network with reduced hop counts between node pairs.
Small world phenomena were first observed by Stanely Milgram in social connectivity of people. Later, it came out as a theory of “six degrees of separation”. Six degrees of separation claims that all people are six, or fewer, social connections away from each other. This theory is also known as the 6 Handshakes rule. Further, small-world phenomena have been investigated in graphs. Subsequently, SWC is observed in wireless networks. In general, small world WSNs (SW-WSNs) are characterized by low Average Path Length (APL) and high Average Clustering Coefficient (ACC). For an undirected WSN with N nodes, representing a regular network, the APL increases linearly with the number of nodes present in the network. On the other hand, in a WSN having SWC the APL, between two randomly selected nodes grows proportionally to the logarithm of the number of nodes in the network. “WSNs are spatial graphs, where links are created using radio connectivity. There is a limit on the radio range of a sensor node, hence in such networks, the long-range connections are generally absent. Thus, these networks are clustered, but they do not experience small-world phenomena. Hence, the primary focus of this work is to develop SW-WSN using various methods leading to efficient WSN services” explained Dr Pandey.
Dr Pandey is now busy to take the studies further. His future projects include-
• Small World WSN (or SW-WSN) Development for Smart Healthcare.
• Cognitive SW-WSN for Energy-Efficient CPS and IoT applications.
• Climate Smart Agriculture using Cognitive SW Characteristics.
• Low-Latency and Intelligent Transportation over small world CPS.
• Multi Sensor Fusion over SW-WSN for CPS/IoT Applications.
• Information and Context Quality in WSN, IoT and CPS Networks.