Chalapathi Rao | Anurag Engineering College (original) (raw)
Papers by Chalapathi Rao
INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY
The existing oil pumping system is a high power consuming process and has incapabilitys of CPUs s... more The existing oil pumping system is a high power consuming process and has incapabilitys of CPUs structural health monitoring. Due to the environmental conditions and remote locations of oil and gas sites, it is expensive to physically visit assets for maintenance and repair. As the demand for oil and gas increases, reducing operating and maintenance costs and increasing reliability, this paper develops a sensor network based monitoring and control system, and improves the level of oil field security, enhance the security checking, and strengthen the management of digitalization and information. The system mainly consists of various sensors like temperature sensor, voltage sensor, current sensor, level sensor, PH sensor and gas sensor. Here we use gas sensor to detect the flammable gas which generally evolves from the oil wells. If any such detection occurs, automatically exhaust fan will switch on to pass away the particles. As like, in case if temperature level is high, cooling fan...
Indian Journal of Science and Technology, 2016
2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015
In recent progress in Wireless Sensor Networks (WSNs) has been developing into one of the main at... more In recent progress in Wireless Sensor Networks (WSNs) has been developing into one of the main attractive networking technologies, as it can be deployed without communication structures. A sensor network is composed of a number of sensor nodes which are responsible for regulation of the physical experience and transmission of the periodical results to the BS (base station). Consequently, minimize the energy consumption and extend the network lifetime are the key challenges in wireless networks. In this aspect, we proposed a hierarchical clustering method algorithm, PESCA (Position Energy Spectral Cluster Algorithm) that determine the number of clusters in a network automatically, depending on residual energy and BS distance. The idea of this clustering scheme is to modify the-means algorithm and proposes new features of the network nodes .In addition, we present a distance-energy cluster structure algorithm (DECSA) based on the classic clustering algorithm LEACH. The experiments results show that the proposed algorithm presents a significant performance improvement in terms of energy and efficient clustering.
TELKOMNIKA Indonesian Journal of Electrical Engineering
Wireless Sensor Networks (WSNs) consist of a large quantity of small and low cost sensor nodes po... more Wireless Sensor Networks (WSNs) consist of a large quantity of small and low cost sensor nodes powered by small non rechargeable batteries and furnish with various sensing devices. The cluster-based technique is one of the good perspectives to reduce energy consumption in WSNs. The lifetime of WSNs is maximized by using the uniform cluster location and balancing the network loading between the clusters. We have reviewed various energy efficient schemes apply in WSNs of which we concerted on clustering approach. So, in this paper we have discussed about few existing energy efficient clustering techniques and proposed an Energy Aware Sleep Scheduling Routing (EASSR) scheme for WSN in which some nodes are usually put to sleep to conserve energy, and this helps to prolong the network lifetime. EASSR selects a node as a cluster head if its residual energy is more than system average energy and have low energy consumption rate in existing round. The efforts of this scheme are, increase of...
In recent progress in Wireless Sensor Networks (WSNs) has been developing into one of the main at... more In recent progress in Wireless Sensor Networks (WSNs) has been developing into one of the main attractive networking technologies, as it can be deployed without communication structures. A sensor network is composed of a number of sensor nodes which are responsible for regulation of the physical experience and transmission of the periodical results to the BS (base station). Consequently, minimize the energy consumption and extend the network lifetime are the key challenges in wireless networks. In this aspect, we proposed a hierarchical clustering method algorithm, PESCA (Position Energy Spectral Cluster Algorithm) that determine the number of clusters in a network automatically, depending on residual energy and BS distance. The idea of this clustering scheme is to modify the-means algorithm and proposes new features of the network nodes .In addition, we present a distance-energy cluster structure algorithm (DECSA) based on the classic clustering algorithm LEACH. The experiments results show that the proposed algorithm presents a significant performance improvement in terms of energy and efficient clustering.
Objectives: In Wireless Sensor Networks (WSNs) the nodes are moving in different geographical con... more Objectives: In Wireless Sensor Networks (WSNs) the nodes are moving in different geographical conditions and the nodes may be left looked after for a long period of time. So to increase the network life time and to reduce the traffic the energy should be conserved. Energy efficient WSNs will lose for a long period time. Methods/Analysis: To increase network
lifetime different methods like data aggregation, cluster head, network coding, correlating data set, etc can be used for correlated data environment. These methods are used to calculate to increase the network lifetime. DDCD (Data Density Correlation Degree) algorithm on wireless sensor network is works as a middleware for aggregating data sustained by a more number of nodes within a network. Findings: The problem encountered in the recent past was of the more battery power consumption. Therefore, this paper proposed the efficient and effective mechanism of energy efficient procedures for data aggregation in wireless sensor network and increase the network lifetime. Application/Improvement: The results of the simulation are acceptable showing the DDCD algorithm to have good performance abilities compared to the Weighted-Low Energy Adaptive Clustering Hierarchy and Ant Colony Optimization algorithms. This process is useful where the sensor nodes are densely established.
The design challenges in Wireless Sensor Networks (WSNs) are to maximizing the network lifetime a... more The design challenges in Wireless Sensor Networks (WSNs) are to maximizing the network lifetime and power consumption. To answer this challenge, the key design is to effective action the sensor node at the optimal location and scheduling of those sensor nodes. In sensor troops, coverage improvement is one of the main issues. Maximum coverage ensures a better performance in WSNs. These are addressed and optimized through bio-inspired techniques namely Particle Swarm Optimization (PSO), Ant Colony Optimization Algorithm (ACO) and Firefly Algorithm (FFA). These are simple, effective and efficient optimization algorithms. The Firefly algorithm is one of the assorted character inspired algorithm that have been developed in the recent and it is inspired from the flashing behavior of the fireflies. The flashing behavior of the fireflies is to attract other fireflies in the cluster for mating. The low brighter firefly will be attracted by the brighter one. This process is imitated in the algorithm to find the solution of impartial function. In this paper, we evaluate the five multi-dimensional benchmark functions. The results of the simulation are acceptable showing the algorithm to have good performance abilities.
INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY
The existing oil pumping system is a high power consuming process and has incapabilitys of CPUs s... more The existing oil pumping system is a high power consuming process and has incapabilitys of CPUs structural health monitoring. Due to the environmental conditions and remote locations of oil and gas sites, it is expensive to physically visit assets for maintenance and repair. As the demand for oil and gas increases, reducing operating and maintenance costs and increasing reliability, this paper develops a sensor network based monitoring and control system, and improves the level of oil field security, enhance the security checking, and strengthen the management of digitalization and information. The system mainly consists of various sensors like temperature sensor, voltage sensor, current sensor, level sensor, PH sensor and gas sensor. Here we use gas sensor to detect the flammable gas which generally evolves from the oil wells. If any such detection occurs, automatically exhaust fan will switch on to pass away the particles. As like, in case if temperature level is high, cooling fan...
Indian Journal of Science and Technology, 2016
2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015
In recent progress in Wireless Sensor Networks (WSNs) has been developing into one of the main at... more In recent progress in Wireless Sensor Networks (WSNs) has been developing into one of the main attractive networking technologies, as it can be deployed without communication structures. A sensor network is composed of a number of sensor nodes which are responsible for regulation of the physical experience and transmission of the periodical results to the BS (base station). Consequently, minimize the energy consumption and extend the network lifetime are the key challenges in wireless networks. In this aspect, we proposed a hierarchical clustering method algorithm, PESCA (Position Energy Spectral Cluster Algorithm) that determine the number of clusters in a network automatically, depending on residual energy and BS distance. The idea of this clustering scheme is to modify the-means algorithm and proposes new features of the network nodes .In addition, we present a distance-energy cluster structure algorithm (DECSA) based on the classic clustering algorithm LEACH. The experiments results show that the proposed algorithm presents a significant performance improvement in terms of energy and efficient clustering.
TELKOMNIKA Indonesian Journal of Electrical Engineering
Wireless Sensor Networks (WSNs) consist of a large quantity of small and low cost sensor nodes po... more Wireless Sensor Networks (WSNs) consist of a large quantity of small and low cost sensor nodes powered by small non rechargeable batteries and furnish with various sensing devices. The cluster-based technique is one of the good perspectives to reduce energy consumption in WSNs. The lifetime of WSNs is maximized by using the uniform cluster location and balancing the network loading between the clusters. We have reviewed various energy efficient schemes apply in WSNs of which we concerted on clustering approach. So, in this paper we have discussed about few existing energy efficient clustering techniques and proposed an Energy Aware Sleep Scheduling Routing (EASSR) scheme for WSN in which some nodes are usually put to sleep to conserve energy, and this helps to prolong the network lifetime. EASSR selects a node as a cluster head if its residual energy is more than system average energy and have low energy consumption rate in existing round. The efforts of this scheme are, increase of...
In recent progress in Wireless Sensor Networks (WSNs) has been developing into one of the main at... more In recent progress in Wireless Sensor Networks (WSNs) has been developing into one of the main attractive networking technologies, as it can be deployed without communication structures. A sensor network is composed of a number of sensor nodes which are responsible for regulation of the physical experience and transmission of the periodical results to the BS (base station). Consequently, minimize the energy consumption and extend the network lifetime are the key challenges in wireless networks. In this aspect, we proposed a hierarchical clustering method algorithm, PESCA (Position Energy Spectral Cluster Algorithm) that determine the number of clusters in a network automatically, depending on residual energy and BS distance. The idea of this clustering scheme is to modify the-means algorithm and proposes new features of the network nodes .In addition, we present a distance-energy cluster structure algorithm (DECSA) based on the classic clustering algorithm LEACH. The experiments results show that the proposed algorithm presents a significant performance improvement in terms of energy and efficient clustering.
Objectives: In Wireless Sensor Networks (WSNs) the nodes are moving in different geographical con... more Objectives: In Wireless Sensor Networks (WSNs) the nodes are moving in different geographical conditions and the nodes may be left looked after for a long period of time. So to increase the network life time and to reduce the traffic the energy should be conserved. Energy efficient WSNs will lose for a long period time. Methods/Analysis: To increase network
lifetime different methods like data aggregation, cluster head, network coding, correlating data set, etc can be used for correlated data environment. These methods are used to calculate to increase the network lifetime. DDCD (Data Density Correlation Degree) algorithm on wireless sensor network is works as a middleware for aggregating data sustained by a more number of nodes within a network. Findings: The problem encountered in the recent past was of the more battery power consumption. Therefore, this paper proposed the efficient and effective mechanism of energy efficient procedures for data aggregation in wireless sensor network and increase the network lifetime. Application/Improvement: The results of the simulation are acceptable showing the DDCD algorithm to have good performance abilities compared to the Weighted-Low Energy Adaptive Clustering Hierarchy and Ant Colony Optimization algorithms. This process is useful where the sensor nodes are densely established.
The design challenges in Wireless Sensor Networks (WSNs) are to maximizing the network lifetime a... more The design challenges in Wireless Sensor Networks (WSNs) are to maximizing the network lifetime and power consumption. To answer this challenge, the key design is to effective action the sensor node at the optimal location and scheduling of those sensor nodes. In sensor troops, coverage improvement is one of the main issues. Maximum coverage ensures a better performance in WSNs. These are addressed and optimized through bio-inspired techniques namely Particle Swarm Optimization (PSO), Ant Colony Optimization Algorithm (ACO) and Firefly Algorithm (FFA). These are simple, effective and efficient optimization algorithms. The Firefly algorithm is one of the assorted character inspired algorithm that have been developed in the recent and it is inspired from the flashing behavior of the fireflies. The flashing behavior of the fireflies is to attract other fireflies in the cluster for mating. The low brighter firefly will be attracted by the brighter one. This process is imitated in the algorithm to find the solution of impartial function. In this paper, we evaluate the five multi-dimensional benchmark functions. The results of the simulation are acceptable showing the algorithm to have good performance abilities.