Faculty Publications

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    Media Independent Handover and Mobile IPv6-Based UDP Performance Evaluation Suite for Heterogeneous Wireless Networks
    (Springer, 2023) Chandavarkar, B.R.
    Simulation is a cost-effective, simple, and straightforward approach to implementing a system for exhaustive analysis. Many commercial and open-source simulators, such as NS2, NS3, OMNET++, OPNET, QualNet, etc., exist in the literature to simulate wired and wireless networks. However, the major challenge in dealing with open-source simulators is analysing the results and presenting their performance metrics. Further, the ever-increasing demands of the users in terms of higher data rates with uninterrupted connections resulted in a heterogeneous wireless network (HWN) that supports the integration of WiFi, WiMAX, LTE, etc. Amongst all network simulators available in the literature, NS2 and NS3 are the most popularly used by the research community because of their immense support for implementing and verifying innovative networking algorithms. Furthermore, with the contribution of the National Institute of Science and Technology (NIST), NS2 supports the simulation of WiFi and WiMAX heterogeneous wireless networks with Media Independent Handover and Mobile-IPv6 which is yet to be supported entirely by NS3. However, the major shortcoming of NIST’s contribution is the ease of developing a simulation script followed by result analysis. In continuation with the NIST’s contribution, this paper proposes a Graphical User Interface-based evaluation suite (ES) for the simulation of User Datagram Protocol applications’ in HWN, referred to as ES-HWN. With the support of this suite, the research community can quickly develop the heterogeneous wireless network simulation script followed by the textual and graphical results of handover, packets sent and received, throughput, packet delay, and jitter. The proposed ES-HWN supports the configuration of 10 WiFi and WiMAX interface mobile nodes with two WiFi-Access Points and a WiMAX-Base Station. Besides, it supports the configuration of UDP-based applications’ packet size and transmission rate. Finally, over many experiments, ES-HWN exhibited 100% reliable results. © 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
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    Novel Fuzzy-based Objective Function for routing protocol for low power and lossy networks
    (Elsevier B.V., 2023) Kamble, S.; Bhilwar, P.; Chandavarkar, B.R.
    In both wired and wireless networks, data routing along the best path is constantly a top priority for the research community. Currently, the most widely adopted routing algorithms in the Internet of Things is the Routing Protocol for Low Power and Lossy Networks (RPL). In RPL, selecting the optimal path primarily depends on the Objective Function (OF). Multi-attribute OFs are thought to be a viable method for choosing the best path, but the main concern here is how these attributes must be coupled. Such issues are being taken care by fuzzy based technologies as it deals with imprecise or distorted attribute values. Most of the fuzzy logic-based OFs are mainly based on the Mamdani method, which has low accuracy. However, a better accuracy is observed in Takagi–Sugeno method. Hence the paper develops a Fuzzy-based Takagi and Sugeno Objective Function (FTSOF) for RPL. The FTSOF technique combines the routing metrics to give a crisp value based on which the parent node is selected. The proposed approach is implemented in the Contiki operating system. The simulation was carried out on different network densities and various data rates. The performance parameters considered are packet delivery ratio, latency, network setup time, and control message overhead. The results shows that FTSOF outperforms the state-of-the-art techniques such as OF-0, MRHOF, and the Fuzzy-based Mamdani Objective Function (FMOF). © 2023 Elsevier B.V.