Faculty Publications
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Publications by NITK Faculty
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Item Network lifetime analytical model for node-disjoint multipath routing in wireless sensor networks(Inderscience Publishers, 2013) Murthy, S.G.; D'Souza, R.J.; Varaprasad, G.The objective of every sensor node in a sensor network is to send the sensed data in the phenomena to a sink node. The network lifetime is maximal, when the energy consumption of each node is uniform. Many routing protocols select an optimal path to increase the network lifetime in sensor networks. The energy of the nodes along this optimal path is consumed more, causing their early death. In the multipath routing, data traffic is distributed among the multiple paths, instead of a single optimal path. This work proposes a theoretical frame work to study the node-disjoint multipath wireless sensor network reliability. With higher reliability, higher network lifetime can be achieved. Simulation results show that when the data is transmitted through multiple paths with different data rates, the network lifetime increases. The node criticality factor enhances the network lifetime analysis effectively. © 2013 Inderscience Enterprises Ltd.Item Range adjustable hybrid multi path routing algorithm for WSNs(Inderscience Publishers, 2017) Nishant, J.D.; Kulkarni, M.; Shivaprakasha, K.S.Node disjoint multipath routing is an effectiveway to achieve reliability and load balancing in wireless sensor networks (WSNs). In this paper, an attempt has been made in proposing a novel node disjoint multipath routing algorithm, the range adjustable hybrid multipath (RAHM). RAHM uses hybrid routing approach. The centralised node disjoint path selection is based on the objective of minimising the end to end communication drain on each path. The localised distributed route reconfiguration initiates on the node failure events and the route re-establishment is based on the objective of residual energy of the nodes. The performance of the proposed algorithm is validated through simulations and compared with collection tree protocol (CTP) and multipath ring routing protocol. RAHM performs around 36% and 76% better in terms of network lifetime parameter compared to CTP and multipath ring routing protocol respectively. © 2017 Inderscience Enterprises Ltd.Item ETRT – Cross layer model for optimizing transmission range of nodes in low power wireless networks – An Internet of Things Perspective(Elsevier B.V., 2018) Sarwesh, P.; Shet, N.S.V.; Chandrasekaran, K.Internet of Things network is managed by battery operated devices and low power radio links since they are referred to low power networks. In present communication era, many research works are concentrating on low power wireless network. Cross layer design is one of the acclaimed technique that decidedly improves the network performance. In this article, we come up with the cross-layer model that satisfies distinct network requirements and prolongs network lifetime. It integrates physical layer, data link layer (Media Access Control) and network layer in the protocol stack. In our model, a threshold value called ETRT (Expected Transmission Range Threshold) is introduced, which is computed with the help of routing information. Later, MAC based power control technique utilizes the ETRT value and assigns optimum transmission range for every node. The idea at the heels of proposed cross layer model is estimating the capability (ETRT value) of the particular node and assigning the suitable transmission power for every node, based on its capability (ETRT value). Hence, assigning optimum transmission power based on ETRT information prolongs the network lifetime with better reliability and Quality of Service(QoS). From our results, it is noticed that the ETRT based cross layer model performs twice better than the standard model. © 2018 Elsevier B.V.Item Enhanced mobility aware routing protocol for Low Power and Lossy Networks(Springer New York LLC barbara.b.bertram@gsk.com, 2019) Sanshi, S.; Jaidhar, C.D.Due to the technological advancement in Low Power and Lossy Networks (LLNs), sensor node mobility becomes a basic requirement for many extensive applications. Routing protocol designed for LLNs must ensure real-time data transmission with minimum power consumption. However, the existing mobility support protocols cannot work efficiently in LLNs as they are unable to adapt to the change in the network topology quickly. Therefore, we propose an Enhanced Routing Protocol for LLNs (ERPL), which updates the Preferred Parent (PP) of the Mobile Node (MN) quickly whenever the MN moves away from the already selected PP. Further, a new objective function that takes the mobility of the node into an account while selecting a PP is proposed. Performance of the ERPL has been evaluated with the varying system and traffic parameters under different topologies similar to most of the real-life networks. The simulation results showed that the proposed ERPL reduced the power consumption, packet overhead, latency and increased the packet delivery ratio as compared to other existing works. © 2017, Springer Science+Business Media, LLC, part of Springer Nature.Item Fuzzy optimised routing metric with mobility support for RPL(Institution of Engineering and Technology JBristow@theiet.org, 2019) Sanshi, S.; Jaidhar, C.D.Recently, many Internet of Things (IoT) applications have emerged with mobility as a fundamental requirement. The presence of a mobile node that changes location around the application domain affects the performance of the Routing Protocol for Low Power Lossy Network (RPL) designed for IoT, leading to repeated disruptions that cause data loss and more power dissipation. In this study, a fuzzy optimised routing metric with mobility support (FL-RPL) has been proposed to enhance the performance of the RPL. The fuzzy inference system considers various routing metrics to pick a suitable candidate parent as the preferred parent node to forward the data to the sink node. Further, timer functions have been added to maintain consistent neighbours to support mobility and seamless connectivity. The FL-RPL has been implemented and tested with different parameter settings for a practical scenario. The obtained simulation results clearly demonstrated that the proposed solution increased packet delivery ratio by approximately 12%, and reduced power consumption by 20% compared with the standard RPL. © 2019 The Institution of Engineering and Technology.Item Enhanced mobility routing protocol for wireless sensor network(Springer, 2020) Sanshi, S.; Jaidhar, C.D.Recently, the routing protocol for low power and lossy networks (RPL) was standardized and is considered as the default standard for routing over the low power and lossy networks. However, it has not been optimized to work effectively, especially under mobility, and suffers from frequent disconnections that result in packet loss and increased energy consumption. In this paper, an enhanced mobility routing protocol for wireless sensor network (EM-RPL) that incorporates modules to support the mobility of nodes has been proposed. The main goal of the EM-RPL is to increase network reliability and efficiency by selecting a route that is more stable and reduces the frequency of route discovery process. The performance of the proposed EM-RPL has been evaluated in the Contiki-based Cooja simulator and compared with the performance of other protocols that support mobility in the RPL. The simulation results demonstrated that the EM-RPL improves the packet delivery ratio and minimizes power consumption by allowing the mobile nodes to select a more stable path. © 2018, Springer Science+Business Media, LLC, part of Springer Nature.Item Location-Free Void Avoidance Routing Protocol for Underwater Acoustic Sensor Networks(Springer, 2022) Nazareth, P.; Chandavarkar, B.R.The field of Underwater Acoustic Sensor Networks (UASNs) is one of the emerging areas of communication due to the number of marine applications. However, UASNs face several fundamental challenges like node movement, high propagation delay, low throughput, high bit-error-rate, low bandwidth, and void-node during communication. Void-node during routing is one of the major problems during routing, which causes high end-to-end delay to route the packets to the sink. The void-node is a fundamental challenge in UASNs and directly influences the UASNs in terms of the end-to-end delay, packet loss, and reliability of the UASNs. The main objective of this paper is to design a void-aware routing protocol referred to as Location-Free Void Avoidance Routing (LFVAR) protocol. It develops void-awareness among nodes in the UASNs and prevents forwarding of the packets to void and trap nodes. Further, LFVAR capable of selecting the efficient void-recovery path for the void-nodes present in the UASNs. Thus, it aims at reducing the end-to-end delay, lower energy consumption, higher packet delivery ratio, and increasing throughput during routing. The LFVAR protocol is implemented in UnetStack and further compared with the state-of-the-art Interference-aware routing (Intar) protocol. The simulation result shows that the packets in LFVAR reach the sink 32.32 % faster, consumes 20.54 % lower energy, and 9.8 % higher packet delivery ratio than Intar. © 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.Item Improved Harmony Search Algorithm for Multihop Routing in Wireless Sensor Networks(Pleiades Publishing, 2022) Sowmya, G.V.; Manjappa, M.Abstract: Energy efficiency is critical for prolonging the network lifetime of Wireless Sensor Network (WSN), and is the most important objective for any routing algorithm for WSN. In this article authors have proposed a Multihop harmony search algorithm for WSN with two objectives, first being increasing the throughput of the network and second being optimizing the energy consumption of the sensor nodes and thereby prolonging the lifetime of network. Finding the goodness of the communication channel/path is quite important. Sometimes, though the channel capacity is more, fewer amounts of data may be transmitted in the channel resulting in under utilization of the resources; and other times, though the channel capacity is less, more data may be dumped into the channel resulting in channel congestion and less output. Thus, if the goodness of the communication channel is known in advance, then it is easy for the algorithms to decide the upper bound of the channel and can have a congestion free and error free information transmission. Thus, the proposed algorithm employ Shannon channel capacity ‘C’ (baud rate) for finding the best next hop and the same is used for initialization of Harmony Memory. An effective local search strategy is also proposed to strengthen the local harmony search ability so that the convergence speed and the accuracy of routing algorithm is improved. Finally, an objective function model is developed by taking path length, energy consumption, and residual energy in to consideration. The proposed algorithm is compared with existing Multihop LEACH, BRM (Baud rate based Multihop routing protocol) and EEHSBR (Energy Efficient Harmony Search Based Routing) algorithm for the quantitative and qualitative analysis. The simulation results reveal that the proposed algorithm performs better than the considered algorithms in terms of network lifetime, throughput and energy consumption. © 2022, Pleiades Publishing, Ltd.Item Hop-based void avoidance routing protocol for underwater acoustic sensor networks(Inderscience Publishers, 2023) Nazareth, P.; Chandavarkar, B.R.More than 70% of the Earth’s surface is covered by water. There is a need to explore the underwater in various applications like disaster detection, environmental monitoring, resource detection, etc. Underwater acoustic sensor networks (UASNs) are the prominent technology used in exploring underwater. UASNs faces challenges such as energy constraint on networks, increased routing complexity due to dynamic network topology, and void node results in increased complexity. The void node poses a major challenge in the routing of UASNs. A void node not being handled properly leads to a lower packet delivery ratio (PDR), higher end-to-end delay. This paper proposes a hop-based void avoidance routing (HVAR) protocol, which is a sender-based, void-avoidance routing protocol. HVAR efficiently distributes void node information in the networks and avoids data transmission to such nodes in the network. HVAR is implemented using UnetStack, and its performance is compared with the state-of-the-art Interference-aware routing (Intar) in terms of end-to-end delay, PDR, energy consumption, and throughput. © © 2023 Inderscience Enterprises Ltd.Item Cluster-Based Multi-attribute Routing Protocol for Underwater Acoustic Sensor Networks(Springer, 2024) Nazareth, P.; Chandavarkar, B.R.Underwater Acoustic Sensor Networks play a significant role in various underwater applications. There are several challenges in underwater communications like high bit-error-rate, low bandwidth, high energy consumption, void-node during routing, etc. Handling void-node during routing is a major challenge in underwater routing. There are well-known void-handling protocols like Energy-efficient Void-Aware Geographic Routing protocol, HydroCast, etc. However, these routing protocols require all neighboring nodes must be a part of the cluster which increases the overhead on clustering, or void-node has a part of the routing. This paper proposes an underwater routing protocol referred to as Cluster-based Multi-Attribute Routing (CMAR) to overcome these issues. It is a sender-based, opportunistic underwater routing protocol. CMAR uses the Technique for Order of Preference by Similarity to Ideal Solution to evaluate the suitability of the neighboring nodes and the basis for clustering process initialization. Through MATLAB simulations, the performance of the CMAR is compared with HydroCast in terms of the number of nodes selected in the forwarding set, number of clusters formed, number of times void-node becomes part of routing and transmission reliability. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.