Faculty Publications
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Item Optimal Resource Allocation for Public Safety Device to Device Communication Using PSO(Springer Science and Business Media Deutschland GmbH, 2023) Dhruvik, N.; Pavan, R.; Neeraj; Manjappa, M.The Device to Device (D2D) communication allows two different devices in close proximity to communicate directly among themselves without relaying through the base stations (eNodeB or eNB). The D2D communication offloads the traffic from eNB and thus, has many advantages, including higher throughput and less end-to-end delay. Though the PSC was basically invented for Public Safety Communication (PSC) and to help the first responders, its distinct advantages have attracted other commercial applications as well. The eNB treats all the D2D applications equally during resource allocation and does a uniform resource allocation where one application is engaged in commercial activities. At the same time, the other saves one’s life. Thus, in this work authors proposed a novel optimized resource allocation algorithm for D2D applications which prioritizes PSC over commercial applications. In order to achieve the objective, Particle Swarm Optimization (PSO) technique was employed in the proposed work. Furthermore, a new weighted average fitness function was designed for PSO to suit the requirements. The proposed algorithm was simulated in NS-3, and the results were taken for different iterations. It was observed that the PSO algorithm for the designed fitness function achieved the local and global optimum values in a considerable amount of time. It was apparent from the results that PSC D2D pairs produced convincing results when compared to D2D pairs with commercial applications. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.Item Design and evaluation of load balanced termite: A novel load aware bio inspired routing protocol for mobile Ad Hoc network(Kluwer Academic Publishers, 2014) Manjappa, M.; Guddeti, G.Bio inspired computing based on Swarm Intelligence is successful in dealing with the networking problems such as routing, congestion and load balancing by finding an optimal path to the destination. Most of the existing bio inspired protocols for MANETs focused only on the routing problem. In this paper, a novel heuristic bio inspired routing with load balancing algorithm referred to as Load Balanced Termite (LB-Termite) is proposed for MANETs by exploiting the salient features of social insect, "Termites". The primary objective of the LB-Termite algorithm is to find the stable nodes and thereby giving preferences for these stable nodes during the path setup; thus finding the reliable route to the destination. The secondary objective of the proposed LB-Termite algorithm is to mitigate the stagnation problem by using pheromone heuristic control method. The simulation results of LB-Termite are compared with other state-of-the-art bio inspired routing algorithms (ACO based Simple Ant Routing Algorithm and the Termite algorithm) and non bio inspired (Ad Hoc on Demand Distance Vector Routing Algorithm) routing protocols for its performance evaluation and the results are found to be encouraging. © 2013 Springer Science+Business Media New York.Item An Iterative-Based Optimum Power and Resource Allocation in Application-Dependent Scenarios for One-to-One D2D Communication(Institute of Electrical and Electronics Engineers Inc., 2024) Raghu, T.V.; Manjappa, M.Efficient and timely sharing of critical information is crucial for Public Safety (PS) communications, which can be fulfilled using one of the cutting-edge technologies, Device-to-device (D2D) communication. During an emergency, the PS applications should be prioritized over other applications, ensuring the emergency messages reach the first responders in time. Due to its inherent characteristics, the evolved Node Base station will not prioritize or categorize the D2D communication based on its application type, thus treating all applications equally. Further, D2D communication introduces significant interference to cellular users and vice-versa while sharing resources, and it is vital to reduce the impact of these interferences to ensure the Quality of Service for all users in the network. Hence, this article proposes a novel interference management approach to increase the overall sum rate of the system. In addition, the proposed approach also allows more D2D communication in general, particularly PS application-based D2D communication, to be active in the network. As the formulated problem is a Mixed-Integer Non-Linear Programming (MINLP) type of problem, it is split into two sub-problems, namely, Iterative Resource Allocation and Sharing and Iterative Power Optimization to achieve a polynomial time complexity. The theoretical proofs adequately explain the algorithm's time complexity and convergence property. The simulation results show that the proposed system enhances the overall sum rate by allowing more active PS D2D applications in the network. © 2013 IEEE.Item Priority-Driven Resource Allocation and Power Optimization in D2D Communication(Institute of Electrical and Electronics Engineers Inc., 2024) Raghu, T.V.; Manjappa, M.This research proposes priority-driven application-based channel assignment and power optimization frameworks called Channel State Information-based Resource Allocation (CSIRA) and Binary Search Power Control Mechanism (BSPCM) in D2D-enabled cellular communication. The CSIRA framework is cluster-based and uses a K-means clustering algorithm to group the D2D users into clusters. CSIRA allows the D2D users to share the cellular user's resources without compromising the cellular user's Quality of Service (QoS) in each cluster. Also, CSIRA ensures that public safety communication will get an edge over commercial communication during resource allocation. In order to ensure the QoS for cellular users is maintained while also enhancing the sum rate of D2D communication, the CSIRA employs the BSPCM framework. BSPCM framework utilizes a binary search algorithm to determine the optimal transmission power required for guaranteed D2D transmission within a cluster, thereby mitigating interference effects. A theoretical proof is provided to show that the suggested frameworks converge to a stable matching and end after a finite number of iterations. Simulation results demonstrate that the proposed frameworks effectively prioritizes public safety over commercial applications while preserving optimal system efficiency and quality with minimal complications. © 2017 IEEE.