Faculty Publications
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Item Energy Efficient Network Design for IoT Healthcare Applications(Springer Science and Business Media Deutschland GmbH, 2017) Sarwesh, P.; Shet, V.; Chandrasekaran, K.Internet of Things (IoT) is the emerging technology, that holds huge number of internet enabled devices and allows to share the data globally. IoT technology provides effective healthcare service by constant monitoring and reporting the chronic conditions of patients. IoT is highly greeted by healthcare sectors. IoT devices are smart in nature but constrained by energy, because most of the IoT applications uses battery operated smart devices. Hence energy is considered as valuable resource in energy constrained IoT environment. In this chapter energy efficient network architecture is proposed for IoT health care applications. Proposed network architecture describes the suitable combination of two different techniques such as, routing technique and node placement technique. In routing technique energy level of the nodes are monitored, to transmit the data in energy efficient path. In node placement technique, data traffic is balanced by varying the density of the nodes. This chapter describes the major factors that affect energy efficiency and it elaborates the suitable techniques to improve energy efficiency in IoT network. © 2017, Springer International Publishing AG.Item Reliable cross layer design for e-health applications—iot perspective(Springer Science and Business Media Deutschland GmbH, 2018) Sarwesh, P.; Shet, N.S.V.; Chandrasekaran, K.Of late, there has been many applications are developed by the aid of IoT technology, such as smart city, e-health, smart home, industrial automation etc. In that, e-health is one of the efficient idea that is decidedly developed for healthcare sectors. IoT devices used in e-health applications are run by battery powered smart objects and low frequency links, which says energy constrained and unreliable nature of IoT network. Thus, providing potent healthcare service (regularly following and reporting the patients’ health information) in energy constrained network environment (battery power smart objects and low frequency links) is the prime need in resource constrained networks environment. In this chapter, reliable cross layer design is introduced to prolong the lifetime of IoT devices and reliable data transfer in IoT e-health applications. In proposed cross layer model, network layer and data link layer (MAC layer) are integrated. Reliability related parameter are included in route discover process and later MAC based power control technique make use of routing information, to obtain the suitable transmission power. Our results show that proposed cross layer design is reliable and energy efficient and it is more suitable for IoT e-health applications. © Springer International Publishing AG 2018.Item Envisioned Network Architectures for IoT Applications(Springer Science and Business Media Deutschland GmbH info@springer-sbm.com, 2019) Sarwesh, P.; Shet, N.S.V.; Chandrasekaran, K.Internet of Things is the auspicious technology that connects different internet enabled devices in single network architecture. IoT contributes effective service in various applications such as industrial automation, health care sectors, and home automation. Availability of low cost devices makes IoT as innovative paradigm in large-scale wireless network research. Challenges in IoT applications vary from each other. For example, in smart grid applications QoS is more important, whereas for land slide monitoring applications, energy efficiency and reliability are the major requirements. Thus, in this chapter, we come up with various network architectures that are suitable for IoT applications. The network architectures are designed by combining different optimization techniques into single network design, to satisfy specific network requirements. This chapter elaborates the major issues that affect the network performance and suitable solutions for those issues by means of efficient network architectures. © 2019, Springer International Publishing AG, part of Springer Nature.Item Effective Integration of Reliable Routing Mechanism and Energy Efficient Node Placement Technique for Low Power IoT Networks(IGI Global, 2019) Sarwesh, P.; V Shet, N.S.; Chandrasekaran, K.Internet of Things (IoT) is the emerging technology that links physical devices (sensor devices) with cyber systems and allows global sharing of information. In IoT applications, devices are operated by battery power and low power radio links, which are constrained by energy. In this paper, node placement technique and routing mechanism are effectively integrated in single network architecture to prolong the lifetime of IoT network. In proposed network architecture, sensor node and relay node are deployed, sensor nodes are responsible for collecting the environmental data and relay nodes are responsible for data aggregation and path computation. In node placement technique, densities of relay nodes are varied based on traffic area, to prevent energy hole problem. In routing technique, energy efficient and reliable path computation is done to reduce number of re transmissions. To adopt IoT scenario, we included IEEE 802.15.4 PHY/MAC radio and IPv6 packet structure in proposed network architecture. Proposed work result shows, proposed architecture prolongs network lifetime. © 2020 by IGI Global. All rights reserved.Item Bat algorithm for scheduling workflow applications in cloud(Institute of Electrical and Electronics Engineers Inc., 2015) Raghavan, S.; Sarwesh, P.; Marimuthu, C.; Chandrasekaran, K.Workflow is one of the important aspects of cloud computing today. Cloud computing is one of the fastest growing technologies in the world. Workflows can be used in cloud as we use them in grid. Many operations in the cloud are based on workflow execution. Workflow systems are now becoming more complex and for such kind of systems efficient workflow management is important. Workflow scheduling is an important part of workflow management. Scheduling in general is NP-hard problem. To solve such kind of problems exhaustive methods cannot be used. Only non-exhaustive techniques can be used. In this paper we have used a metaheuristic approach called bat algorithm. Bat algorithm is specifically designed for optimizing hard problems. Here, bat algorithm with the help of binary bat algorithm is used for scheduling workflow in a cloud. Specifically the mapping of tasks and resources is done using this method. The optimal resources are selected such that the overall cost of the workflow is minimal. © 2015 IEEE.Item Energy efficient network architecture for IoT applications(Institute of Electrical and Electronics Engineers Inc., 2016) Sarwesh, P.; V.Shet, V.S.N.; Chandrasekaran, K.Wireless Sensor Network (WSN) and low power smart device network (Internet of Things) are fast growing technologies used in wide range applications. In IoT nodes are defined as sensor/actuators, which are highly constrained in nature (limited in energy and CPU usage). Designing energy efficient network architecture and routing mechanism is a great challenge in IoT networks. The network is said as energy efficient, based on node survivability. In this paper, energy efficient network architecture is proposed to prolong the network lifetime. Sensor nodes and relay nodes are placed in hierarchical manner to avoid uneven energy drainage (energy hole problem). In proposed architecture, sensors do sensing and relay nodes handle communication (data transmission from sensor to sink), which reduce the complexity of device. Relay node placement is done based on data traffic of the network. Energy efficient routing mechanism is implemented in proposed architecture to achieve balanced energy consumption. In our results, uniform energy consumption and better network lifetime is obtained. © 2015 IEEE.Item Energy aware routing protocol for resource constrained wireless sensor networks(Association for Computing Machinery acmhelp@acm.org, 2016) Prasad, S.; Jaiswal, S.; Shet, N.S.V.; Sarwesh, P.Wireless sensor network (WSN) is a developing technology that improves the resource utilization in various fields such as home automation, e-health, smart grid, precision agriculture etc. It consists of sensor devices, which works autonomously with its sensing, communication and computation capabilities. In most of the sensor network applications the nodes will be deployed in remote areas (land slide monitoring, wildlife monitoring etc.), so replacing the battery often is impossible in many WSN scenarios. Hence energy is considered as a valuable resource in resource constrained wireless sensor networks. In this paper, we propose a new routing methodology to improve the energy efficiency in resource constrained WSN. The proposed technique uses SNR (Signal to Noise Ratio), node degree and residual energy as routing parameters, to find an energy efficient and reliable path for data transmission. The combination of the parameters used in the proposed routing technique is done based on weighted sum approach. The proposed framework has been implemented on and compared with a number of standard energy efficient protocols and our results show considerable improvement in comparison to the existing techniques. © 2016 ACM.Item Energy efficient and reliable network design to improve lifetime of low power IoT networks(Institute of Electrical and Electronics Engineers Inc., 2017) Sarwesh, P.; Shekar, N.; Shet, V.; Chandrasekaran, K.Internet of Things is smart technology that is used in wide range of applications, IoT converges physical devices with cyber systems to facilitate global information sharing. In IoT network, devices are constrained by energy (limited by battery power). Thus, efficient energy utilization is the major challenge in low power IoT networks. In this paper, energy efficient and reliable network architecture is proposed to improve the lifetime of IoT networks. In proposed network architecture, routing technique and node placement technique are effectively integrated to address energy and reliability related issues. In node placement technique, density of sensor nodes are hierarchically varied to balance the energy consumption and reliability related parameters are included in routing mechanism. Hence, effective combination of these two techniques in single network architecture prolongs the lifetime of the network. In proposed work, sensor nodes and relay nodes, sensors do sensing and relay nodes handles path computation and data transmission. We included IEEE 802.15.4 PHY/MAC radio and IPv6 module in proposed work to adopt IoT Scenario. From our results, it is observed that proposed architecture prolongs the lifetime of low power IoT network. © 2017 IEEE.Item Effective integration of reliable routing mechanism and energy efficient node placement technique for low power IoT networks(IGI Global cust@igi-global.com, 2017) Sarwesh, P.; Shet, N.S.V.; Chandrasekaran, K.Internet of Things (IoT) is the emerging technology that links physical devices (sensor devices) with cyber systems and allows global sharing of information. In IoT applications, devices are operated by battery power and low power radio links, which are constrained by energy. In this paper, node placement technique and routing mechanism are effectively integrated in single network architecture to prolong the lifetime of IoT network. In proposed network architecture, sensor node and relay node are deployed, sensor nodes are responsible for collecting the environmental data and relay nodes are responsible for data aggregation and path computation. In node placement technique, densities of relay nodes are varied based on traffic area, to prevent energy hole problem. In routing technique, energy efficient and reliable path computation is done to reduce number of re transmissions. To adopt IoT scenario, we included IEEE 802.15.4 PHY/MAC radio and IPv6 packet structure in proposed network architecture. Proposed work result shows, proposed architecture prolongs network lifetime. © © 2017, IGI Global.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.