Conference Papers
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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.