Conference Papers
Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506
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Item Modeling and analysing a novel restricted angle scenario model in MANET(2010) Vetrivelan, N.; Aduru, A.V.In this work, we have modeled a novel Restricted Angle Scenario model for Mobile Adhoc networks. The direction movement of the nodes are significantly specified with given angles. We have compared and analysed our novel Restricted angle scenario model and the impact of mobility on MANET protocols. The parameter metrics Packet Delivery Fraction, Routing load, and Latency have been taken into account. Our simulation result shows that the functioning of our Restricted Angle Scenario model has greatly influenced the performance of Routing Protocols in MANET environment. The result reveals the fact that the Reactive routing protocol DSR outperforms than the Proactive routing protocol DSDV. Our Novel Restricted Angle Scenario Model has performed well when we compare it with existing Waypoint mobility model while setting many source-destination connections. ©2010 IEEE.Item Cognitive network layer in MANETs mobility aware routing protocol(2012) Zakeerhusen, A.G.; Manjappa, M.; Guddeti, G.It is intended to add cognition to make cognitive network layer in order to design and develop Quality of Service (QoS) aware adaptive routing protocol in Mobile Adhoc Networks (MANETs). QoS-aware routing is challenging as nodes in the network are free to move, the topology will be changing dynamically. Performance of AODV will be less when nodes in the network are highly mobile. In this paper, Mobility Aware Routing Protocol (MARP) model is proposed to extract a core part in MANET that is stable in terms of mobility of the nodes. This core part is a subset of MANET mobile nodes through which transmission will be done. Here selection of paths through this extracted core can ensure more QoS in time. The MARP model not only provides a better way to discover a QoS but it considers an efficient route maintenance scheme by selecting the route which has more stability as source is having knowledge about other available paths. Since MARP is multipath routing protocol, route maintenance is easy and it robust. By simulation MARP show better performance over existing AODV-on demand routing protocol. © 2012 Springer-Verlag.Item MRPL++: Smarter-HOP for optimizing mobility in RPL(Institute of Electrical and Electronics Engineers Inc., 2016) Anand, M.C.R.; Tahiliani, M.P.Routing Protocol for Low power and lossy networks (RPL) is a proactive algorithm for Low-power and Lossy Networks (LLNs). Recent growth in Internet of Things (IoT) applications has made proactive handling of mobility apparent. While RPL does not tackle mobility, mRPL addresses it by adopting a proactive Hand-Off strategy. Since this strategy follows a greedy approach to select the next hop, a best route may not be always chosen. This paper proposes mRPL++, an extension of mRPL, to ensure best route selection in mobile scenarios. We have implemented mRPL++ in the Contiki 6LoWPAN/RPL stack and validated it through extensive simulations. © 2016 IEEE.Item Mobility aware routing protocol based on DIO message for low power and lossy networks(Springer Verlag service@springer.de, 2020) Sanshi, S.; Jaidhar, C.D.Mobility support has become a crucial requirement for many of the Low power and Lossy Networks applications, and designing an efficient mobility aware routing protocol towards this end has become an important research topic. In this paper, a Mobility Aware Routing Protocol for Low power and Lossy Networks (MARPL) that updates the Preferred Parent Node information soon after it receives the DIO message has been proposed. In the proposed approach, the Mobile Node is aware of its mobility and updates the PPN information without waiting for the route expiration time. To measure the effectiveness of the proposed MARPL, simulation works were carried out on a Contiki-based Cooja simulator for different mobility models. The obtained simulation results showed that the proposed MARPL performed better compared with the standard RPL for healthcare applications. © Springer Nature Switzerland AG 2020.Item A Mathematical Model for Node Mobility during Water Current and Tsunami in Underwater Sensor Networks(Institute of Electrical and Electronics Engineers Inc., 2020) Tejaskumar, K.; Dharamdas, I.R.; Chandavarkar, B.R.In underwater acoustic sensor networks (UWASNs), the nodes deployed in the seas and oceans are not always stationary but are affected by changes in their environment. The changes may occur naturally or due to man-made interactions. Naturally occurring phenomena like earthquakes, tsunami, and water currents affect the position of the deployed nodes. The movement of nodes has an impact on the routing of packets involved in underwater communication. Thus, the mobility of nodes is an important factor that has to be taken into account when designing networking protocols for UW-ASNs. This paper talks about the motion of the nodes due to water currents and tsunami propagation. Mathematical models depicting the node's movement due to water currents and tsunami are discussed in this paper. The simulation of the node trajectories is done using UnetStack3. © 2020 IEEE.Item Implementation of Ship Motion Mobility Model in UnetStack for Underwater Sensor Networks(Institute of Electrical and Electronics Engineers Inc., 2020) Prajval, M.; Chandavarkar, B.R.Unlike terrestrial networks, deployed sensor nodes in underwater networks can move due to ship movement, water current, etc. This movement of nodes in underwater networks causes a severe effect in the routing of data to the offshore destinations. Hence, nodes movement is one of the essential factors in designing a context-aware routing for underwater networks. This paper proposes a mathematical model to study the node movement in underwater networks due to the ship movements. Additionally, the proposed model is demonstrated through its implementation in UnetStack3. © 2020 IEEE.Item Collaborative Deadline-sensitive Multi-task Offloading in Vehicular-Cloud Networks(Institute of Electrical and Electronics Engineers Inc., 2025) Kumar, P.; Sushma, S.A.; Chandrasekaran, K.; Addya, S.K.With the growing technological advancements in the Internet and advanced functionalities in vehicular networks, it becomes crucial to execute tasks quickly and efficiently. However, the limited onboard computational capacity and vehicle mobility make it challenging to accomplish latency-sensitive tasks efficiently. Task offloading provides a promising solution to overcome these challenges. Cloud data centers provide efficient solutions, but returning the results to the vehicles takes longer due to the large physical distance. Leveraging edge servers to execute latency-sensitive tasks provides a fast, interactive response and less transmission cost. However, in a dynamic network, vehicles will be in constant motion with varying speeds, resulting in frequent handoffs from one base station to another. Our proposed work aims to select the optimal nodes to perform binary offloading with minimum cost using the collaborative vehicular network. We use a greedy-based offloading approach to address these challenges and achieve better quality-of-service and quality-of-experience in a dynamic environment to minimize costs, delay reduction ratio, and satisfaction ratio. The proposed work outperforms the baseline by 60.44%, 53.43% in reducing total system cost, delay reduction ratio, and 36% improvement in the satisfaction ratio compared to baseline algorithms. © 2025 IEEE.