Dr. Pooja Mishra received her Ph.D. from ABV-IIITM Gwalior (M.P.) and her M.Tech. and B.E. degrees from MITS Gwalior. She is currently an Assistant Professor in the Department of Computer Science & Engineering at the Madhav Institute of Technology & Science (MITS), Gwalior, India. Previously, she served as an Assistant Professor at Bennett University (The Times Group), Greater Noida. Her research contributions include several publications in reputed international journals and conferences.
EDUCATION
PhD in Computer Science & Engineering (JAN 2025)
Atal Bihari Vajpayee-Indian Institute of Information Technology and Management (ABV-IIITM), Gwalior (M.P.), INDIA
M.Tech in Information Technology with honour’s degree (CGPA: 8.17) (Jul 2014 - Jun 2016)
Madhav Institute of Technology & Science, Gwalior (M.P.), INDIA
B.Tech in in Information Technology with honour’s degree (Percentage: 76.34% (Jul 2009 - Jun 2013)
Madhav Institute of Technology & Science, Gwalior (M.P.), INDIA
Higher Secondary Certificate, (Percentage: 89.4% School Topper) (June 2008)
Govt. Girls H S School Thatipur, Gwalior, M.P.
Senior Secondary Certificate, (Percentage: 77.0%) (June 2006)
Govt. Girls H S School Thatipur, Gwalior, M.P.
RESEARCH, TEACHING, or OTHER INTERESTS
Computer Science, Computer Engineering
6
Scopus Publications
60
Scholar Citations
4
Scholar h-index
3
Scholar i10-index
Scopus Publications
Optimizing Energy Efficiency in MobiHetero-ISN: A Hybrid FCM-GWO Algorithm Gaurav Thapliyal, Pooja Mishra, Neetesh Kumar 2025 IEEE 2nd International Conference on Electrical Electronics Communication and Computers Elexcom 2025, 2025 In today’s industries, characterized by the widespread adoption of the Internet of Things (IoT), the urgent demand for energy-efficient solutions arises due to the limited power sources of mobile nodes. This paper specifically addresses the challenges in optimizing energy efficiency in a Mobile and Heterogeneous IoT-based Sensor Network "MobiHetero-ISN". Proficient clustering methods are explored to mitigate battery consumption, focusing on selecting an appropriate node as Cluster Head (CH) to enhance clustering efficiency. Acknowledging persistent issues like uneven CH distribution, uneven energy consumption, redundant data transmission, and imbalanced CH loads, this study introduces an effective data-gathering technique based on clustering and routing tailored for a MobiHetero-ISN. In mobile and heterogeneous industrial settings, this work presents a hybrid FCM-GWO algorithm that merges Fuzzy C-Means (FCM) clustering with Grey Wolf Optimization (GWO). This algorithm incorporates a fitness function, considering essential parameters like nodes’ residual energy, transmission distance, and cluster density to optimize energy consumption and extend the network lifetime. Comprehensive simulations comparing the proposed algorithm with established protocols such as LEACH, LEACH-PSO, LEACH-GWO, FCM, and FCM-PSO unequivocally demonstrate the superiority of the hybrid FCM-GWO algorithm.
An evolutionary computing-based energy-efficient solution for IoT-enabled software-defined sensor network architecture Pooja Mishra, Neetesh Kumar, W. Wilfred Godfrey International Journal of Communication Systems, 2022 SummarySoftware‐defined networking (SDN) has emerged as an evolving technique in wireless sensor networks (WSNs). SDN enables WSNs with programmable control to manage network functions dynamically and efficiently. In Internet of Things (IoT) applications, smart sensors suffer from the low battery issue, generally deployed in harsh network environments where regular recharge is not feasible. Moreover, integrating SDN with IoT‐enabled sensor network puts forward several challenges, for example, control nodes' selection, load balancing, and energy cost optimization while aggregating the collected data, focusing on heterogeneous traffic data. Thus, an energy‐efficient data collection technique via definite sensing control in two‐level IoT‐enabled software‐defined heterogeneous WSN (2SD‐HWSN) is formulated as an optimization problem, with transmission distance from smart sensors, residual energy of sensors, and load based on node density. The proposed algorithm is divided into two: set‐up and transmission phases. In the set‐up phase, the control server (CS) elects the best‐suited control nodes (CNs) and sets up a schedule for coordinating data transmission. Further, normal nodes join appropriate CNs based on distance and residual energy. This way, CNs form clusters and route sensed data during the transmission phase. Therefore, an alternative nature‐inspired algorithm, that is, grey wolf optimization (GWO), is hybridized with particle swarm optimization using a low‐level co‐evolutionary technique to improve its overall performance. This hybrid variant of GWO, known as HGWO‐BC, offers balanced clustering (BC) via novel fitness function design. An exhaustive simulation study is performed in different scenarios considering homogeneous and heterogeneous sensors. Comparative results show that the HGWO‐BC outperforms state‐of‐the‐arts concerning network lifetime, instability period, residual energy, throughput, and computational efforts.
Fault-tolerance Aware Green Computing Scheme in Software-Defined Vehicular Social Network Pooja Mishra, W Wilfred Godfrey, Neetesh Kumar 2022 IEEE 6th Conference on Information and Communication Technology Cict 2022, 2022 The Vehicular Social Network (VSN) is an advanced social communication system with intelligent sensing objects and vehicular communication in smart city applications. Fault-tolerance aware green computing is an essential concern in the VSN environment considering vehicle mobility. Therefore, this work proposes a Random Way-Point (RWP) mobility model to simulate the VSN environment. Further, it is difficult to maintain global network stability with communication costs in a VSN. Therefore, fault-tolerance aware green traffic data dissemination is modelled as an optimization problem considering transmission distance, residual energy, relative load-imbalance, and mobility factor performance metrics considering Software-Defined VSN (SDVSN) architecture. To solve this problem, a Particle Swarm Optimization (PSO), called Fault-tolerance-aware Energy-efficient Particle Swarm Optimization (FEPSO) algorithm, is proposed in SDVSN. Extensive simulation studies are carried out to compare the performance of the proposed FEPSO to state-of-the-art methods. The comprehensive analysis of the compared findings attest with fault-tolerant aware green computing benefits in a real VSN environment.
A green computing-based algorithm in software defined network with enhanced performance Pooja Mishra, W Wilfred Godfrey, Neetesh Kumar Proceedings IEEE 2021 International Conference on Computing Communication and Intelligent Systems Icccis 2021, 2021 Energy Consumption in Telecom and Internet Service Provider (ISP) network is increasing day-by-day due to the rapid growth of traffic volume. Software-Defined Network (SDN) is an emerging technique that separates control and data planes of the networking devices, e.g., routers and switches, enables centralized control over the network, and provides flexibility in network management. The minimization of the energy cost depends on the active components e.g. switches, links, etc. that affects the performance of network. Therefore, this paper formulates the energy-aware routing problem considering Equal-Cost Multi-Paths (ECMP) in the SDN network. To solve the problem, proposed link utility-based ECMP Routing prioritizes the hop count while re-routing the traffic flow pass through the below threshold (under-utilized) links. The proposed approach is compared with the similar other existing approaches, e.g., Next Shortest Path (NSP), Next Maximum Utility (NMU), and modified Maximum Ratio for Energy-saving in SDN (i.e., modified MaxRESDN) by considering performance of network and Quality of Service (QoS) parameters, e.g., links saved, energy-saving ratio, average link utilization, average path length. The comparative analysis shows that the proposed approach outperforms another state of the arts further overall performance improved in average path length is observed as 25% to 30%.
A Meta-heuristic-based Green-routing Algorithm in Software-Defined Wireless Sensor Network Pooja Mishra, Neetesh Kumar, W Wilfred Godfrey Proceedings of the 6th International Conference on Inventive Computation Technologies Icict 2021, 2021 Recent trends in Wireless Sensor Network (WSN) have been adopted as an emerging networking paradigm called Software-Defined Wireless Sensor Network (SD-WSN) to dynamically and efficiently managing the network functionality. Generally, smart sensor devices suffer from low battery and could not be replaced after a deployment. Therefore, This work is focusing on the energy-efficient clustering routing problem in SD-WSN. In SD-WSN, Control Server (CS) assigns the tasks to selected Control Nodes (CNs) dynamically. Thus, CNs selection is formulated as an optimization problem in SD-WSNs. To solve this, a nature-inspired approach i.e. Gray-Wolf Optimization (GWO) is applied to balance the normal nodes' energy. Thus, proposed approach is referred to as the Energy-balanced Grey-wolf optimizer (EBGWO). Further, a fitness function is designed that considers several parameters e.g., CS to CNs distance, intracluster distance, node residual energy, and cluster size. Thus, the EBGWO perform balanced, energy-efficient clustering and prolong the network lifespan. The comparative simulation results show that the EBGWO approach outperforms the NWPSO concerning network lifespan, residual energy, network throughput, and convergence rate.
RECENT SCHOLAR PUBLICATIONS
Optimizing Energy Efficiency in MobiHetero-ISN: A Hybrid FCM-GWO Algorithm G Thapliyal, P Mishra, N Kumar 2025 IEEE International Conference on Electrical, Electronics, Communication … , 2026 2026
FGCF: fault-aware green computing framework in software-defined social internet of vehicle: P. Mishra et al. P Mishra, WW Godfrey, N Kumar The Journal of Supercomputing 80 (12), 17423-17459 , 2024 2024
Fault-tolerance aware green computing scheme in software-defined vehicular social network P Mishra, WW Godfrey, N Kumar 2022 IEEE 6th Conference on Information and Communication Technology (CICT), 1-6 , 2022 2022 Citations: 2
An evolutionary computing‐based energy‐efficient solution for IoT‐enabled software‐defined sensor network architecture P Mishra, N Kumar, WW Godfrey International Journal of Communication Systems, e5111 , 2022 2022 Citations: 29
A Green Computing-based Algorithm in Software Defined Network with Enhanced Performance P Mishra, WW Godfrey, N Kumar 2021 International Conference on Computing, Communication, and Intelligent … , 2021 2021 Citations: 4
A hybrid Meta-heuristic solution for Energy-Efficient routing in Software-Defined Wireless Sensor Network P Mishra, N Kumar, WW Godfrey 2021
A meta-heuristic-based green-routing algorithm in software-defined wireless sensor network P Mishra, N Kumar, WW Godfrey 2021 6th International Conference on Inventive Computation Technologies … , 2021 2021 Citations: 13
Analysis of Clustering Algorithm for Lifetime Improvement in Wireless Sensor Networks P Mishra, S Sharma International Journal of Engineering Trends and Technology (IJETT) 35 (12) , 2016 2016
A comparative study of existing cluster-based routing protocols in wireless sensor networks P Mishra International Journal of Future Generation Communication and Networking , 2016 2016 Citations: 12
MOST CITED SCHOLAR PUBLICATIONS
An evolutionary computing‐based energy‐efficient solution for IoT‐enabled software‐defined sensor network architecture P Mishra, N Kumar, WW Godfrey International Journal of Communication Systems, e5111 , 2022 2022 Citations: 29
A meta-heuristic-based green-routing algorithm in software-defined wireless sensor network P Mishra, N Kumar, WW Godfrey 2021 6th International Conference on Inventive Computation Technologies … , 2021 2021 Citations: 13
A comparative study of existing cluster-based routing protocols in wireless sensor networks P Mishra International Journal of Future Generation Communication and Networking , 2016 2016 Citations: 12
A Green Computing-based Algorithm in Software Defined Network with Enhanced Performance P Mishra, WW Godfrey, N Kumar 2021 International Conference on Computing, Communication, and Intelligent … , 2021 2021 Citations: 4
Fault-tolerance aware green computing scheme in software-defined vehicular social network P Mishra, WW Godfrey, N Kumar 2022 IEEE 6th Conference on Information and Communication Technology (CICT), 1-6 , 2022 2022 Citations: 2
Optimizing Energy Efficiency in MobiHetero-ISN: A Hybrid FCM-GWO Algorithm G Thapliyal, P Mishra, N Kumar 2025 IEEE International Conference on Electrical, Electronics, Communication … , 2026 2026
FGCF: fault-aware green computing framework in software-defined social internet of vehicle: P. Mishra et al. P Mishra, WW Godfrey, N Kumar The Journal of Supercomputing 80 (12), 17423-17459 , 2024 2024
A hybrid Meta-heuristic solution for Energy-Efficient routing in Software-Defined Wireless Sensor Network P Mishra, N Kumar, WW Godfrey 2021
Analysis of Clustering Algorithm for Lifetime Improvement in Wireless Sensor Networks P Mishra, S Sharma International Journal of Engineering Trends and Technology (IJETT) 35 (12) , 2016 2016
