Distributed Processing of Probabilistic Top-k Queries in Wireless Sensor Networks introduces the concepts of sufficient and necessary sets to facilitate localized data pruning in sensor network clusters. It develops three algorithms - sufficient set-based, necessary set-based, and boundary-based - for intercluster query processing with bounded communication rounds. An adaptive algorithm is also introduced to minimize transmission costs under dynamic data distributions. Experimental results show the proposed algorithms significantly reduce data transmission with only small constant communication rounds.
Distributed processing of probabilistic top k queries in wireless sensor netw...IEEEFINALYEARPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
Abstract: Energy consumption is one of the constraints in Wireless Sensor Networks (WSNs). The routing protocols are the hot areas to address quality-of-service (QoS) related issues viz. Energy consumption, network lifetime, network scalability and packet overhead. In existing system a hybrid optimization based PEGASIS-DSR optimized routing protocol (PDORP) is presented which used cache and directional transmission concept of both proactive and reactive routing protocols. The performance of PDORP has been evaluated and the results indicated that it performs better in most significant parameters. The performance of the existing method is checked when it is evaluated and validated with the nodes which are highly dynamic in nature based on the application requirement. The current system finds the trusted nodes in the case of only static environment. To overcome the issue the proposed system is applied for dynamic WSN’s with the location frequently being changed. The PDORP-LC is applied with local caching (LC) to acquire the location information so that the path learning can be dynamic without depending on the fixed location. The proposed work is performing in dynamic environment with the dynamic derivation of trusted nodes.
Keywords: local caching (LC), Wireless Sensor Networks (WSNs), PEGASIS-DSR optimized routing protocol (PDORP).
Title: Energy Efficient Optimal Paths Using PDORP-LC
Author: ADARSH KUMAR B, BIBIN CHRISTOPHER, ISSAC SAJAN, AJ DEEPA
ISSN 2350-1022
International Journal of Recent Research in Mathematics Computer Science and Information Technology
Paper Publications
An Improved Energy Efficient Wireless Sensor Networks Through Clustering In C...Editor IJCATR
One of the major reason for performance degradation in Wireless sensor network is the overhead due to control packet and packet delivery degradation. Clustering in cross layer network operation is an efficient way manage control packet overhead and which ultimately improve the lifetime of a network. All these overheads are crucial in a scalable networks. But the clustering always suffer from the cluster head failure which need to be solved effectively in a large network. As the focus is to improve the average lifetime of sensor network the cluster head is selected based on the battery life of nodes. The cross-layer operation model optimize the overheads in multiple layer and ultimately the use of clustering will reduce the major overheads identified and their by the energy consumption and throughput of wireless sensor network is improved. The proposed model operates on two layers of network ie., Network Layer and Transport Layer and Clustering is applied in the network layer . The simulation result shows that the integration of two layers reduces the energy consumption and increases the throughput of the wireless sensor networks.
A DYNAMIC ROUTE DISCOVERY SCHEME FOR HETEROGENEOUS WIRELESS SENSOR NETWORKS B...csandit
With the development of new networking paradigms and wireless protocols, nodes with different capabilities are used to form a heterogeneous network. The performance of this kind of networks is seriously deteriorated because of the bottlenecks inside the network. In addition, because of the application requirements, different routing schemes are required toward one particular application. This needs a tool to design protocols to avoid the bottlenecked nodes and adaptable to application requirement. Polychromatic sets theory has the ability to do so. This paper demonstrates the applications of polychromatic sets theory in route discovery and protocols design for heterogeneous networks. From extensive simulations, it shows the nodes with high priority are selected for routing, which greatly increases the performance of the network. This demonstrates that a new type of graph theory could be applied to solve problems of complex networks.
Distributed processing of probabilistic top k queries in wireless sensor netw...IEEEFINALYEARPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
Abstract: Energy consumption is one of the constraints in Wireless Sensor Networks (WSNs). The routing protocols are the hot areas to address quality-of-service (QoS) related issues viz. Energy consumption, network lifetime, network scalability and packet overhead. In existing system a hybrid optimization based PEGASIS-DSR optimized routing protocol (PDORP) is presented which used cache and directional transmission concept of both proactive and reactive routing protocols. The performance of PDORP has been evaluated and the results indicated that it performs better in most significant parameters. The performance of the existing method is checked when it is evaluated and validated with the nodes which are highly dynamic in nature based on the application requirement. The current system finds the trusted nodes in the case of only static environment. To overcome the issue the proposed system is applied for dynamic WSN’s with the location frequently being changed. The PDORP-LC is applied with local caching (LC) to acquire the location information so that the path learning can be dynamic without depending on the fixed location. The proposed work is performing in dynamic environment with the dynamic derivation of trusted nodes.
Keywords: local caching (LC), Wireless Sensor Networks (WSNs), PEGASIS-DSR optimized routing protocol (PDORP).
Title: Energy Efficient Optimal Paths Using PDORP-LC
Author: ADARSH KUMAR B, BIBIN CHRISTOPHER, ISSAC SAJAN, AJ DEEPA
ISSN 2350-1022
International Journal of Recent Research in Mathematics Computer Science and Information Technology
Paper Publications
An Improved Energy Efficient Wireless Sensor Networks Through Clustering In C...Editor IJCATR
One of the major reason for performance degradation in Wireless sensor network is the overhead due to control packet and packet delivery degradation. Clustering in cross layer network operation is an efficient way manage control packet overhead and which ultimately improve the lifetime of a network. All these overheads are crucial in a scalable networks. But the clustering always suffer from the cluster head failure which need to be solved effectively in a large network. As the focus is to improve the average lifetime of sensor network the cluster head is selected based on the battery life of nodes. The cross-layer operation model optimize the overheads in multiple layer and ultimately the use of clustering will reduce the major overheads identified and their by the energy consumption and throughput of wireless sensor network is improved. The proposed model operates on two layers of network ie., Network Layer and Transport Layer and Clustering is applied in the network layer . The simulation result shows that the integration of two layers reduces the energy consumption and increases the throughput of the wireless sensor networks.
A DYNAMIC ROUTE DISCOVERY SCHEME FOR HETEROGENEOUS WIRELESS SENSOR NETWORKS B...csandit
With the development of new networking paradigms and wireless protocols, nodes with different capabilities are used to form a heterogeneous network. The performance of this kind of networks is seriously deteriorated because of the bottlenecks inside the network. In addition, because of the application requirements, different routing schemes are required toward one particular application. This needs a tool to design protocols to avoid the bottlenecked nodes and adaptable to application requirement. Polychromatic sets theory has the ability to do so. This paper demonstrates the applications of polychromatic sets theory in route discovery and protocols design for heterogeneous networks. From extensive simulations, it shows the nodes with high priority are selected for routing, which greatly increases the performance of the network. This demonstrates that a new type of graph theory could be applied to solve problems of complex networks.
Advances in micro fabrication and communication techniques have led to unimaginable proliferation of
WSN applications. Research is focussed on reduction of setup operational energy costs. Bulk of operational
energy costs are linked to communication activities of WSN. Any progress towards energy efficiency has a
potential of huge savings globally. Therefore, every energy efficient step is an endeavour to cut costs and
‘Go Green’. In this paper, we have proposed a framework to reduce communication workload through: Innetwork
compression and multiple query synthesis at the base-station and modification of query syntax through introduction of Static Variables. These approaches are general approaches which can be used in any WSN irrespective of application.
An Adaptive Energy Aware Clustering Based Reliable Routing for in-Network Agg...Editor IJCATR
Wireless Sensor Network (WSN) consists of spatially distributed autonomous devices that cooperatively sense physical or
environmental conditions. Due to the non-uniform node deployment, the energy consumption among nodes are more
imbalanced in cluster-based wireless sensor networks this factor will affect the network life time. Cluster-based routing and EADC
algorithm through an efficient energy aware clustering algorithm is employed to avoid imbalance network distribution. Our proposed
protocol EADC aims at minimizing the overall network overhead and energy expenditure associated with the multi hop data retrieval
process while also ensuring balanced energy consumption among SNs and prolonged network life time .A optimal one-hop based
selective node in building cluster structures consisted of member nodes that route their measured data to their assigned cluster head is
identified to ensure efficient communication. The proposed routing algorithm increases forwarding tasks of the nodes in scarcely
covered areas by forcing cluster heads to choose nodes with higher energy and fewer member nodes and finally, achieves
imbalanced among cluster head and improve the network life time.
A Review of Atypical Hierarchical Routing Protocols for Wireless Sensor Networksiosrjce
IOSR Journal of Electronics and Communication Engineering(IOSR-JECE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of electronics and communication engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in electronics and communication engineering. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Review on Clustering and Data Aggregation in Wireless Sensor NetworkEditor IJCATR
Wireless Sensor Network is a collection of various sensor nodes with sensing and communication capabilities. Clustering is the
process of grouping the set of objects so that the objects in the same group are similar to each other and different to objects in the other
group. The main goal of Data Aggregation is to collect and aggregate the data by maintaining the energy efficiency so that the network
lifetime can be increased. In this paper, I have presented a comprehensive review of various clustering routing protocols for WSN, their
advantages and limitation of clustering in WSN. A brief survey of Data Aggregation Algorithm is also outlined in this paper. Finally, I
summarize and conclude the paper with some future directions
ENERGY SAVINGS IN APPLICATIONS FOR WIRELESS SENSOR NETWORKS TIME CRITICAL REQ...IJCNCJournal
Along with handling and poor storage capacity, each sensor in wireless sensor network (WSN) is equipped
with a limited power source and very difficult to be replaced in most application environments. Improving
the energy savings in applications for wireless sensor networks is necessary. In this paper, we mainly focus
on energy consumption savings in applications for wireless sensor networks time critical requirements. Our
Paper accompanying analysis of advanced technologies for energy saving techniques for the optimization
of energy efficiency together with the data transmission is optimal. Moreover, we propose improvements to
increase energy savings in applications for wireless sensor networks require time critical (LEACH
improvements). Simulation results show that our proposed protocol significantly better than LEACH about
the formation of clusters in each round, the average power, the number of nodes alive and average total
received data in base stations.
Clustering and data aggregation scheme in underwater wireless acoustic sensor...TELKOMNIKA JOURNAL
Underwater Wireless Acoustic Sensor Networks (UWASNs) are creating attentiveness in
researchers due to its wide area of applications. To extract the data from underwater and transmit to
watersurface, numerous clustering and data aggregation schemes are employed. The main objectives of
clustering and data aggregation schemes are to decrease the consumption of energy and prolong the
lifetime of the network. In this paper, we focus on initial clustering of sensor nodes based on their
geographical locations using fuzzy logic. The probability of degree of belongingness of a sensor node to its
cluster, along with number of clusters is analysed and discussed. Based on the energy and distance the
cluster head nodes are determined. Finally using using similarity function data aggregation is analysed and
discussed. The proposed scheme is simulated in MATLAB and compared with LEACH algorithm.
The simulation results indicate that the proposed scheme performs better in maximizing network lifetime
and minimizing energy consumption.
Advancement of Zone Based Energy Efficient Protocol for WSNijtsrd
The Wireless Sensor Networks WSNs is an area of emerging technology which involves numerous number of sensor nodes motes, a base station, processing power and storage. However, these have very limited power. The nodes exchange data and control messages with each other and towards the base station to fulfill a sensing and monitoring process. In present work, we have suggested a region based routing protocol for heterogeneous WSNs. In proposed technique, few motes forward data straight to the base station BS whereas other motes follow clustering method to forward data to the BS. We have employed R SEP protocol and equated with standard Low Energy adaptive clustering hierarchy LEACH and SEP protocols. Experimental outcomes exhibits that R SEP improves the lifetime of WSN and the amount of work accomplished in the network by R SEP is much more than the conventional LEACH and SEP protocols. Anita | Kirti Bhatia | Shalini Bhadola "Advancement of Zone Based Energy Efficient Protocol for WSN" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-5 , August 2020, URL: https://www.ijtsrd.com/papers/ijtsrd32987.pdf Paper Url :https://www.ijtsrd.com/computer-science/computer-network/32987/advancement-of-zone-based-energy-efficient-protocol-for-wsn/anita
Energy Conservation in Wireless Sensor Networks Using Cluster-Based ApproachIJRES Journal
In a wireless networking environment, the network is comprised of sensor nodes and backbones are subsets of sensors or actuators that suffice for performing basic data communication operations. They are applied for energy efficient broadcasting. In a broadcasting (also known as data dissemination) task, a message is to be sent from one node, which could be a sink or an actuator, to all the sensors or all the actuators in the network. The goal is to minimize the number of rebroadcasts while attempting to deliver messages to all sensors or actuators. Neighbor detection and route discovery algorithms that consider a realistic physical layer are described. An adaptive broadcasting protocol without parameters suitable for delay tolerant networks is further discussed. In existing solutions for minimal energy broadcasting problem, nodes can adjust their transmission powers. Wireless Sensor Networks (WSNs) are sets of many sensors that gather data and collaborate together. So, the procedures of broadcast or multicast are more important than traditional point-to-point communication in computer network. This paper focuses on broadcasting in structured WSNs. In such a kind, the procedure of network communications is easier than in unstructured WSNs. Thus, it will make an overview of Multi Point Relay (MPR) to show its weakness. Then define a cluster-based architecture for WSNs which is constructed using MPR. Next, provide a new broadcast algorithm based on the previous cluster architecture called 3B (Backbone Based Broadcasting). By the end, an illustration of 3B shows that it minimizes the energy consumption for accomplishing broadcast compared to MPR.
Congestion Control Clustering a Review PaperEditor IJCATR
Wireless Sensor Networks consists of sensor nodes which are scattered in the environment, gather data and transmit it to a
base station for processing. Energy conservation in the Wireless Sensor Networks (WSN) is a very important task because of their
limited battery power. The related works so far have been done have tried to solve the problem keeping in the mind the constraints of
WSNs. In this paper, a priority based application specific congestion control clustering (PASCCC) protocol has been studied, which
often integrates the range of motion and heterogeneity of the nodes to detect congestion in a very network. Moreover a comparison of
the various clustering techniques has been done. From the survey it has been found that none of the protocol is efficient for energy
conservation. Hence the paper ends with future scope to overcome these issues.
Optimized Cluster Establishment and Cluster-Head Selection Approach in WSNIJCNCJournal
In recent years, limited resources of user products and energy-saving are recognized as the major challenges of Wireless Sensor Networks (WSNs). Clustering is a practical technique that can reduce all energy consumption and provide stability of workload that causes a larger difference in energy depletion among other nodes and cluster heads (CHs). In addition, clustering is the solution of energy-efficient for maximizing the network longevity and improvising energy efficiency. In this paper, a novel OCE-CHS (Optimized Cluster Establishment and Cluster-Head Selection) approach for sensor nodes is represented to improvise the packet success ratio and reduce the average energy-dissipation. The main contribution of this paper is categorized into two processes, first, the clustering algorithm is improvised that periodically chooses the optimal set of the CHs according to the speed of the average node and average-node energy. This is considerably distinguished from node-based clustering that utilizes a distributed clustering algorithm to choose CHs based on the speed of the current node and remaining node energy. Second, more than one factor is assumed for the detached node to join the optimal cluster. In the result section, we discuss our clustering protocols implementation of optimal CH-selection to evade the death of SNs, maximizing throughput, and further improvise the network lifetime by minimizing energy consumption.
DESIGN OF ENERGY EFFICIENT ROUTING ALGORITHM FOR WIRELESS SENSOR NETWORK (WSN...cscpconf
Development of energy efficient Wireless Sensor Network (WSN) routing protocol is nowadays main area of interest amongst researchers. This research is an effort in designing energy efficient Wireless Sensor Network (WSN) routing protocol under certain parameters consideration. Research report discusses various existing WSN routing protocols and propose a new WSN energy efficient routing protocol. Results show a significant improvement in life cycle of the nodes and enhancement in energy efficiency of WSN. In this paper, an attempt has been made to design a wireless sensor network involving the extraction of Pascal Graph features. The standard task involves designing a suitable topology using Pascal Graph. As per the definition of interconnection network it is equivalent that a suitable graph can represent the different computer network topologies very efficiently. Different characteristics of Pascal Graph Topology has been discovered and used in network topology design. Since Pascal Graph gives
better result in terms of finding the dependable and reliable nodes in topology, it has been considered for network analysis. Moreover, we propose a methodology that involves the Pascal
Graph Topology for wireless sensor network which can analyse and represent the network and help in routing.
Energy efficient wireless sensor networks using linear programming optimizati...LogicMindtech Nologies
NS2 Projects for M. Tech, NS2 Projects in Vijayanagar, NS2 Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, NS2 IEEE projects in Bangalore, IEEE 2015 NS2 Projects, WSN and MANET Projects, WSN and MANET Projects in Bangalore, WSN and MANET Projects in Vijayangar
Advances in micro fabrication and communication techniques have led to unimaginable proliferation of
WSN applications. Research is focussed on reduction of setup operational energy costs. Bulk of operational
energy costs are linked to communication activities of WSN. Any progress towards energy efficiency has a
potential of huge savings globally. Therefore, every energy efficient step is an endeavour to cut costs and
‘Go Green’. In this paper, we have proposed a framework to reduce communication workload through: Innetwork
compression and multiple query synthesis at the base-station and modification of query syntax through introduction of Static Variables. These approaches are general approaches which can be used in any WSN irrespective of application.
An Adaptive Energy Aware Clustering Based Reliable Routing for in-Network Agg...Editor IJCATR
Wireless Sensor Network (WSN) consists of spatially distributed autonomous devices that cooperatively sense physical or
environmental conditions. Due to the non-uniform node deployment, the energy consumption among nodes are more
imbalanced in cluster-based wireless sensor networks this factor will affect the network life time. Cluster-based routing and EADC
algorithm through an efficient energy aware clustering algorithm is employed to avoid imbalance network distribution. Our proposed
protocol EADC aims at minimizing the overall network overhead and energy expenditure associated with the multi hop data retrieval
process while also ensuring balanced energy consumption among SNs and prolonged network life time .A optimal one-hop based
selective node in building cluster structures consisted of member nodes that route their measured data to their assigned cluster head is
identified to ensure efficient communication. The proposed routing algorithm increases forwarding tasks of the nodes in scarcely
covered areas by forcing cluster heads to choose nodes with higher energy and fewer member nodes and finally, achieves
imbalanced among cluster head and improve the network life time.
A Review of Atypical Hierarchical Routing Protocols for Wireless Sensor Networksiosrjce
IOSR Journal of Electronics and Communication Engineering(IOSR-JECE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of electronics and communication engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in electronics and communication engineering. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Review on Clustering and Data Aggregation in Wireless Sensor NetworkEditor IJCATR
Wireless Sensor Network is a collection of various sensor nodes with sensing and communication capabilities. Clustering is the
process of grouping the set of objects so that the objects in the same group are similar to each other and different to objects in the other
group. The main goal of Data Aggregation is to collect and aggregate the data by maintaining the energy efficiency so that the network
lifetime can be increased. In this paper, I have presented a comprehensive review of various clustering routing protocols for WSN, their
advantages and limitation of clustering in WSN. A brief survey of Data Aggregation Algorithm is also outlined in this paper. Finally, I
summarize and conclude the paper with some future directions
ENERGY SAVINGS IN APPLICATIONS FOR WIRELESS SENSOR NETWORKS TIME CRITICAL REQ...IJCNCJournal
Along with handling and poor storage capacity, each sensor in wireless sensor network (WSN) is equipped
with a limited power source and very difficult to be replaced in most application environments. Improving
the energy savings in applications for wireless sensor networks is necessary. In this paper, we mainly focus
on energy consumption savings in applications for wireless sensor networks time critical requirements. Our
Paper accompanying analysis of advanced technologies for energy saving techniques for the optimization
of energy efficiency together with the data transmission is optimal. Moreover, we propose improvements to
increase energy savings in applications for wireless sensor networks require time critical (LEACH
improvements). Simulation results show that our proposed protocol significantly better than LEACH about
the formation of clusters in each round, the average power, the number of nodes alive and average total
received data in base stations.
Clustering and data aggregation scheme in underwater wireless acoustic sensor...TELKOMNIKA JOURNAL
Underwater Wireless Acoustic Sensor Networks (UWASNs) are creating attentiveness in
researchers due to its wide area of applications. To extract the data from underwater and transmit to
watersurface, numerous clustering and data aggregation schemes are employed. The main objectives of
clustering and data aggregation schemes are to decrease the consumption of energy and prolong the
lifetime of the network. In this paper, we focus on initial clustering of sensor nodes based on their
geographical locations using fuzzy logic. The probability of degree of belongingness of a sensor node to its
cluster, along with number of clusters is analysed and discussed. Based on the energy and distance the
cluster head nodes are determined. Finally using using similarity function data aggregation is analysed and
discussed. The proposed scheme is simulated in MATLAB and compared with LEACH algorithm.
The simulation results indicate that the proposed scheme performs better in maximizing network lifetime
and minimizing energy consumption.
Advancement of Zone Based Energy Efficient Protocol for WSNijtsrd
The Wireless Sensor Networks WSNs is an area of emerging technology which involves numerous number of sensor nodes motes, a base station, processing power and storage. However, these have very limited power. The nodes exchange data and control messages with each other and towards the base station to fulfill a sensing and monitoring process. In present work, we have suggested a region based routing protocol for heterogeneous WSNs. In proposed technique, few motes forward data straight to the base station BS whereas other motes follow clustering method to forward data to the BS. We have employed R SEP protocol and equated with standard Low Energy adaptive clustering hierarchy LEACH and SEP protocols. Experimental outcomes exhibits that R SEP improves the lifetime of WSN and the amount of work accomplished in the network by R SEP is much more than the conventional LEACH and SEP protocols. Anita | Kirti Bhatia | Shalini Bhadola "Advancement of Zone Based Energy Efficient Protocol for WSN" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-5 , August 2020, URL: https://www.ijtsrd.com/papers/ijtsrd32987.pdf Paper Url :https://www.ijtsrd.com/computer-science/computer-network/32987/advancement-of-zone-based-energy-efficient-protocol-for-wsn/anita
Energy Conservation in Wireless Sensor Networks Using Cluster-Based ApproachIJRES Journal
In a wireless networking environment, the network is comprised of sensor nodes and backbones are subsets of sensors or actuators that suffice for performing basic data communication operations. They are applied for energy efficient broadcasting. In a broadcasting (also known as data dissemination) task, a message is to be sent from one node, which could be a sink or an actuator, to all the sensors or all the actuators in the network. The goal is to minimize the number of rebroadcasts while attempting to deliver messages to all sensors or actuators. Neighbor detection and route discovery algorithms that consider a realistic physical layer are described. An adaptive broadcasting protocol without parameters suitable for delay tolerant networks is further discussed. In existing solutions for minimal energy broadcasting problem, nodes can adjust their transmission powers. Wireless Sensor Networks (WSNs) are sets of many sensors that gather data and collaborate together. So, the procedures of broadcast or multicast are more important than traditional point-to-point communication in computer network. This paper focuses on broadcasting in structured WSNs. In such a kind, the procedure of network communications is easier than in unstructured WSNs. Thus, it will make an overview of Multi Point Relay (MPR) to show its weakness. Then define a cluster-based architecture for WSNs which is constructed using MPR. Next, provide a new broadcast algorithm based on the previous cluster architecture called 3B (Backbone Based Broadcasting). By the end, an illustration of 3B shows that it minimizes the energy consumption for accomplishing broadcast compared to MPR.
Congestion Control Clustering a Review PaperEditor IJCATR
Wireless Sensor Networks consists of sensor nodes which are scattered in the environment, gather data and transmit it to a
base station for processing. Energy conservation in the Wireless Sensor Networks (WSN) is a very important task because of their
limited battery power. The related works so far have been done have tried to solve the problem keeping in the mind the constraints of
WSNs. In this paper, a priority based application specific congestion control clustering (PASCCC) protocol has been studied, which
often integrates the range of motion and heterogeneity of the nodes to detect congestion in a very network. Moreover a comparison of
the various clustering techniques has been done. From the survey it has been found that none of the protocol is efficient for energy
conservation. Hence the paper ends with future scope to overcome these issues.
Optimized Cluster Establishment and Cluster-Head Selection Approach in WSNIJCNCJournal
In recent years, limited resources of user products and energy-saving are recognized as the major challenges of Wireless Sensor Networks (WSNs). Clustering is a practical technique that can reduce all energy consumption and provide stability of workload that causes a larger difference in energy depletion among other nodes and cluster heads (CHs). In addition, clustering is the solution of energy-efficient for maximizing the network longevity and improvising energy efficiency. In this paper, a novel OCE-CHS (Optimized Cluster Establishment and Cluster-Head Selection) approach for sensor nodes is represented to improvise the packet success ratio and reduce the average energy-dissipation. The main contribution of this paper is categorized into two processes, first, the clustering algorithm is improvised that periodically chooses the optimal set of the CHs according to the speed of the average node and average-node energy. This is considerably distinguished from node-based clustering that utilizes a distributed clustering algorithm to choose CHs based on the speed of the current node and remaining node energy. Second, more than one factor is assumed for the detached node to join the optimal cluster. In the result section, we discuss our clustering protocols implementation of optimal CH-selection to evade the death of SNs, maximizing throughput, and further improvise the network lifetime by minimizing energy consumption.
DESIGN OF ENERGY EFFICIENT ROUTING ALGORITHM FOR WIRELESS SENSOR NETWORK (WSN...cscpconf
Development of energy efficient Wireless Sensor Network (WSN) routing protocol is nowadays main area of interest amongst researchers. This research is an effort in designing energy efficient Wireless Sensor Network (WSN) routing protocol under certain parameters consideration. Research report discusses various existing WSN routing protocols and propose a new WSN energy efficient routing protocol. Results show a significant improvement in life cycle of the nodes and enhancement in energy efficiency of WSN. In this paper, an attempt has been made to design a wireless sensor network involving the extraction of Pascal Graph features. The standard task involves designing a suitable topology using Pascal Graph. As per the definition of interconnection network it is equivalent that a suitable graph can represent the different computer network topologies very efficiently. Different characteristics of Pascal Graph Topology has been discovered and used in network topology design. Since Pascal Graph gives
better result in terms of finding the dependable and reliable nodes in topology, it has been considered for network analysis. Moreover, we propose a methodology that involves the Pascal
Graph Topology for wireless sensor network which can analyse and represent the network and help in routing.
Energy efficient wireless sensor networks using linear programming optimizati...LogicMindtech Nologies
NS2 Projects for M. Tech, NS2 Projects in Vijayanagar, NS2 Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, NS2 IEEE projects in Bangalore, IEEE 2015 NS2 Projects, WSN and MANET Projects, WSN and MANET Projects in Bangalore, WSN and MANET Projects in Vijayangar
JAVA 2013 IEEE DATAMINING PROJECT Distributed processing of probabilistic top...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Distributed processing of probabilistic top k queries in wireless sensor netw...ecway
Final Year IEEE Projects, Final Year Projects, Academic Final Year Projects, Academic Final Year IEEE Projects, Academic Final Year IEEE Projects 2013, Academic Final Year IEEE Projects 2014, IEEE JAVA, .NET Projects, 2013 IEEE JAVA, .NET Projects, 2013 IEEE JAVA, .NET Projects in Chennai, 2013 IEEE JAVA, .NET Projects in Trichy, 2013 IEEE JAVA, .NET Projects in Karur, 2013 IEEE JAVA, .NET Projects in Erode, 2013 IEEE JAVA, .NET Projects in Madurai, 2013 IEEE JAVA, .NET Projects in Salem, 2013 IEEE JAVA, .NET Projects in Coimbatore, 2013 IEEE JAVA, .NET Projects in Tirupur, 2013 IEEE JAVA, .NET Projects in Bangalore, 2013 IEEE JAVA, .NET Projects in Hydrabad, 2013 IEEE JAVA, .NET Projects in Kerala, 2013 IEEE JAVA, .NET Projects in Namakkal, IEEE JAVA, .NET Image Processing, IEEE JAVA, .NET Face Recognition, IEEE JAVA, .NET Face Detection, IEEE JAVA, .NET Brain Tumour, IEEE JAVA, .NET Iris Recognition, IEEE JAVA, .NET Image Segmentation, Final Year JAVA, .NET Projects in Pondichery, Final Year JAVA, .NET Projects in Tamilnadu, Final Year JAVA, .NET Projects in Chennai, Final Year JAVA, .NET Projects in Trichy, Final Year JAVA, .NET Projects in Erode, Final Year JAVA, .NET Projects in Karur, Final Year JAVA, .NET Projects in Coimbatore, Final Year JAVA, .NET Projects in Tirunelveli, Final Year JAVA, .NET Projects in Madurai, Final Year JAVA, .NET Projects in Salem, Final Year JAVA, .NET Projects in Tirupur, Final Year JAVA, .NET Projects in Namakkal, Final Year JAVA, .NET Projects in Tanjore, Final Year JAVA, .NET Projects in Coimbatore, Final Year JAVA, .NET Projects in Bangalore, Final Year JAVA, .NET Projects in Hydrabad, Final Year JAVA, .NET Projects in Kerala, Final Year JAVA, .NET IEEE Projects in Pondichery, Final Year JAVA, .NET IEEE Projects in Tamilnadu, Final Year JAVA, .NET IEEE Projects in Chennai, Final Year JAVA, .NET IEEE Projects in Trichy, Final Year JAVA, .NET IEEE Projects in Erode, Final Year JAVA, .NET IEEE Projects in Karur, Final Year JAVA, .NET IEEE Projects in Coimbatore, Final Year JAVA, .NET IEEE Projects in Tirunelveli, Final Year JAVA, .NET IEEE Projects in Madurai, Final Year JAVA, .NET IEEE Projects in Salem, Final Year JAVA, .NET IEEE Projects in Tirupur, Final Year JAVA, .NET IEEE Projects in Namakkal, Final Year JAVA, .NET IEEE Projects in Tanjore, Final Year JAVA, .NET IEEE Projects in Coimbatore, Final Year JAVA, .NET IEEE Projects in Bangalore, Final Year JAVA, .NET IEEE Projects in Hydrabad, Final Year JAVA, .NET IEEE Projects in Kerala, Final Year IEEE MATLAB Projects, Final Year Projects, Academic Final Year Projects, Academic Final Year IEEE MATLAB Projects, Academic Final Year IEEE MATLAB Projects 2013, Academic Final Year IEEE MATLAB Projects 2014, IEEE MATLAB Projects, 2013 IEEE MATLAB Projects, 2013 IEEE MATLAB Projects in Chennai, 2013 IEEE MATLAB Projects in Trichy, 2013 IEEE MATLAB Projects in Karur, 2013 IEEE MATLAB Projects in Erode, 2013 IEEE MATLAB Projects in Madurai, 2013 IEEE MATLAB
Efficient Query Evaluation of Probabilistic Top-k Queries in Wireless Sensor ...ijceronline
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
An Efficient top- k Query Processing in Distributed Wireless Sensor NetworksIJMER
Wireless Sensor Networks (WSNs) are usually defined as large-scale, ad-hoc, multi-hop and
wireless unpartitioned networks of homogeneous, small, static nodes deployed in an area of interest.
Applications of sensor networks include monitoring volcano activity, building structures or natural
habitat monitoring. In this paper, we present the problem of processing probabilistic top-k queries in a
distributed wireless sensor networks. The basic problem in top-k query processing is that, a single method
cannot be used as a solution to the problem of top-k query processing because there are many types of
top-k query processing. The method has to be based on the situation, the classification and the type of
database and the query model. Here we develop three algorithms, namely, sufficient set-based (SSB),
necessary set-based (NSB), and boundary-based (BB), for inter- cluster query processing with bounded
rounds of communications. Moreover, in responding to dynamic changes of data distribution in the
overall network, we develop an adaptive algorithm that dynamically switches among the three proposed
algorithms to minimize the transmission cost.
An Improved Energy Efficient Wireless Sensor Networks Through Clustering In C...Editor IJCATR
One of the major reason for performance degradation in Wireless sensor network is the overhead due to control packet and
packet delivery degradation. Clustering in cross layer network operation is an efficient way manage control packet overhead and which
ultimately improve the lifetime of a network. All these overheads are crucial in a scalable networks. But the clustering always suffer
from the cluster head failure which need to be solved effectively in a large network. As the focus is to improve the average lifetime of
sensor network the cluster head is selected based on the battery life of nodes. The cross-layer operation model optimize the overheads
in multiple layer and ultimately the use of clustering will reduce the major overheads identified and their by the energy consumption
and throughput of wireless sensor network is improved. The proposed model operates on two layers of network ie., Network Layer
and Transport Layer and Clustering is applied in the network layer . The simulation result shows that the integration of two layers
reduces the energy consumption and increases the throughput of the wireless sensor networks.
An Improved Energy Efficient Wireless Sensor Networks Through Clustering In C...Editor IJCATR
One of the major reason for performance degradation in Wireless sensor network is the overhead due to control packet and
packet delivery degradation. Clustering in cross layer network operation is an efficient way manage control packet overhead and which
ultimately improve the lifetime of a network. All these overheads are crucial in a scalable networks. But the clustering always suffer
from the cluster head failure which need to be solved effectively in a large network. As the focus is to improve the average lifetime of
sensor network the cluster head is selected based on the battery life of nodes. The cross-layer operation model optimize the overheads
in multiple layer and ultimately the use of clustering will reduce the major overheads identified and their by the energy consumption
and throughput of wireless sensor network is improved. The proposed model operates on two layers of network ie., Network Layer
and Transport Layer and Clustering is applied in the network layer . The simulation result shows that the integration of two layers
reduces the energy consumption and increases the throughput of the wireless sensor networks.
An Improved Energy Efficient Wireless Sensor Networks Through Clustering In C...Editor IJCATR
One of the major reason for performance degradation in Wireless sensor network is the overhead due to control packet and packet delivery degradation. Clustering in cross layer network operation is an efficient way manage control packet overhead and which ultimately improve the lifetime of a network. All these overheads are crucial in a scalable networks. But the clustering always suffer from the cluster head failure which need to be solved effectively in a large network. As the focus is to improve the average lifetime of sensor network the cluster head is selected based on the battery life of nodes. The cross-layer operation model optimize the overheads in multiple layer and ultimately the use of clustering will reduce the major overheads identified and their by the energy consumption and throughput of wireless sensor network is improved. The proposed model operates on two layers of network ie., Network Layer and Transport Layer and Clustering is applied in the network layer . The simulation result shows that the integration of two layers reduces the energy consumption and increases the throughput of the wireless sensor networks.
AN OPTIMIZED WEIGHT BASED CLUSTERING ALGORITHM IN HETEROGENEOUS WIRELESS SENS...cscpconf
The last few years have seen an increased interest in the potential use of wireless sensor networks (WSNs) in various fields like disastermanagementbattle field surveillance, and border security surveillance. In such applications, a large number of sensor nodes are deployed, which are often unattended and work autonomously. The process of dividing the network into interconnected substructures is called clustering and the interconnected substructures are called clusters. The cluster head (CH) of each cluster act as a coordinator within the substructure. Each CH acts as a temporary base station within its zone or cluster. It also communicates with other CHs. Clustering is a key technique used to extend the lifetime of a sensor network by reducing energy consumption. It can also increase network scalability. Researchers in all fields of wireless sensor network believe that nodes are homogeneous, but
some nodes may be of different characteristics to prolong the lifetime of a WSN and its reliability. We have proposed an algorithm for better cluster head selection based on weights for different parameter that influence on energy consumption which includes distance from base station as a new parameter to reduce number of transmissions and reduce energy consumption by sensor nodes. Finally proposed algorithm compared with the WCA, IWCA algorithm in terms of number of clusters and energy consumption.
M.E Computer Science Wireless Communication ProjectsVijay Karan
List of Wireless Communication IEEE 2006 Projects. It Contains the IEEE Projects in the Domain Wireless Communication for M.E Computer Science students.
M.Phil Computer Science Wireless Communication ProjectsVijay Karan
List of Wireless Communication IEEE 2006 Projects. It Contains the IEEE Projects in the Domain Wireless Communication for M.Phil Computer Science students.
M phil-computer-science-wireless-communication-projectsVijay Karan
List of Wireless Communication IEEE 2006 Projects. It Contains the IEEE Projects in the Domain Wireless Communication for M.Phil Computer Science students.
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Scheduling different types of packets, such as
real-time and non-real-time data packets, at sensor nodes with
resource constraints in Wireless Sensor Networks (WSN) is of
vital importance to reduce sensors’ energy consumptions and endto-end
data transmission delays. Most of the existing packetscheduling
mechanisms of WSN use First Come First Served
(FCFS), non pre-emptive priority and pre-emptive priority
scheduling algorithms. These algorithms incur a high processing
overhead and long end-to-end data transmission delay due to the
FCFS concept, starvation of high priority real-time data packets
due to the transmission of a large data packet in non pre-emptive
priority scheduling, starvation of non-real-time data packets due
to the probable continuous arrival of real-time data in preemptive
priority scheduling, and improper allocation of data
packets to queues in multilevel queue scheduling algorithms.
Moreover, these algorithms are not dynamic to the changing
requirements of WSN applications since their scheduling policies
are predetermined.
In the Advanced Multilevel Priority packet scheduling
scheme, each node except those at the last level has three levels of
priority queues. According to the priority of the packet and
availability of the queue, node will schedule the packet for
transmission. Due to separated queue availability, packet
transmission delay is reduced. Due to reduction in packet
transmission delay, node can goes into sleep mode as soon as
possible. And Expired packets are deleted at the particular node
at itself before reaching the base station, so that processing
burden on the node is reduced. Thus, energy of the node is saved.
Similar to Distributed processing of probabilistic top k queries in wireless sensor networks (20)
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Distributed processing of probabilistic top k queries in wireless sensor networks
1. Distributed Processing of Probabilistic Top-k Queries in
Wireless Sensor Networks
ABSTRACT:
In this paper, we introduce the notion of sufficient set and necessary set for
distributed processing of probabilistic top-k queries in cluster-based wireless
sensor networks. These two concepts have very nice properties that can facilitate
localized data pruning in clusters. Accordingly, we develop a suite of algorithms,
namely, sufficient set-based (SSB), necessary set-based (NSB), and boundary-
based (BB), for intercluster query processing with bounded rounds of
communications. Moreover, in responding to dynamic changes of data distribution
in the network, we develop an adaptive algorithm that dynamically switches
among the three proposed algorithms to minimize the transmission cost. We show
the applicability of sufficient set and necessary set to wireless sensor networks
with both two-tier hierarchical and tree-structured network topologies.
Experimental results show that the proposed algorithms reduce data transmissions
significantly and incur only small constant rounds of data communications. The
experimental results also demonstrate the superiority of the adaptive algorithm,
which achieves a near-optimal performance under various conditions.
2. EXISTING SYSTEM
This new technology has resulted in significant impacts on a wide array of
applications in various fields, including military, science, industry, commerce,
transportation, and health-care. However, the quality of sensors varies significantly
in terms of their sensing precision, accuracy, tolerance to hardware/external noise,
and so on. For example, studies show that the distribution of noise varies widely in
different photovoltic sensors, precision and accuracy of readings usually vary
significantly in humidity sensors, and the errors in GPS devices can be up to
several meters. Nevertheless, they have mostly been studied under a centralized
system setting. In this paper, we explore the problem of processing probabilistic
top-k queries in distributed wireless sensor networks. Here, we first use an
environmental monitoring application of wireless sensor network to introduce
some basics of probabilistic databases. Due to sensing imprecision and
environmental interferences, the sensor readings are usually noisy. Thus, multiple
sensors are deployed at certain zones in order to improve monitoring quality. In
this network, sensor nodes are grouped into clusters, within each of which one of
sensors is selected as the cluster head for performing localized data processing.
boundary based algorithm using hts to the data processing.
3. DISADVANTAGE OF EXISTING SYSTEM:
We explore the problem of processing probabilistic top-k queries in
distributed wireless sensor networks.
The wind station very slowly
Data is not accuracy purify
The one station to another station delay the communication rate
PROPOSED SYSTEM
There are three proposed algorithms to minimize the transmission cost. We show
the applicability of sufficient set and necessary set to wireless sensor networks
with both two-tier hierarchical and tree-structured network topologies. There are
several top-k query semantics and solutions proposed recently, including U-Topk
and UkRanks in PT-Topk in PK-Topk in expected rank in and so on. A common
way to process probabilistic top-k queries is to first sort all tuples based on the
scoring attribute, and then process tuples in the sorted order to compute the final
answer set. Nevertheless, while focusing on optimizing the transmission
bandwidth, the proposed techniques require numerous iterations of computation
and communication, introducing tremendous communication overhead and
resulting in long latency. As argued in this is not desirable for many distributed
applications, e.g., network monitoring, that require the queries to be answered in a
good response time, with a minimized energy consumption. In this paper, we aim
4. at developing energy efficient algorithms optimized for fixed rounds of
communications.
ADVANTAGE OF PROPOSED SYSTEM:
Additionally, NSB and BB take advantage of the skewed necessary sets and
necessary boundaries among local clusters to obtain their global boundaries,
respectively, which are very effective for intercluster pruning.
The transmission cost increases for all algorithms because the number of
tuples needed for query processing is increased.
MODULES:
1. PT-Topk Query Processing
2. Sensor Networks
3. Data pruning
4. Structured network topology
5. Data transmission
6. Performance evaluation
5. MODULE DESCRIPTION:
PT-Topk Query Processing
The PT-Topk queries in a centralized uncertain database, which provides a good
background for the targeted distributed processing problem. The query answer can
be obtained by examining the tuples in descending ranking order from the sorted
table (which is still denoted as T for simplicity). We can easily determine that the
highest ranked k tuples are definitely in the answer set as long as their confidences
are greater than p since their qualifications as PT-Topk answers are not dependent
on the existence of any other tuples.
Sensor Networks
The extensive number of research work in this area has appeared in the literature.
Due to the limited energy budget available at sensor nodes, the primary issue is
how to develop energy-efficient techniques to reduce communication and energy
costs in the networks. Approximate-based data aggregation techniques have also
been proposed. The idea is to tradeoff some data quality for improved energy
efficiency. Silberstein et al. develop a sampling-based approach to evaluate
approximate top-k queries in wireless sensor networks. Based on statistical
modeling techniques, a model-driven approach was proposed in to balance the
6. confidence of the query answer against the communication cost in the network.
Moreover, continuous top-k queries for sensor networks have been studied in and .
In addition, a distributed threshold join algorithm has been developed for top-k
queries. These studies, considering no uncertain data, have a different focus from
our study.
Data pruning
The cluster heads are responsible for generating uncertain data tuples from the
collected raw sensor readings within their clusters. To answer a query, it’s natural
for the cluster heads to prune redundant uncertain data tuples before delivery to the
base station in order to reduce communication and energy cost. The key issue here
is how to derive a compact set of tuples essential for the base station to answer the
probabilistic top-k queries.
Structured network topology
To perform in-network query processing, a routing tree is often formed among
sensor nodes and the base station. A query is issued at the root of the routing tree
and propagated along the tree to all sensor nodes. Although the concepts of
sufficient set and necessary set introduced earlier are based on two-tier hierarchical
sensor networks, they are applicable to tree-structured sensor network.
7. Data transmission
The total amount of data transmission as the performance metrics. Notice that,
response time is another important metrics to evaluate query processing algorithms
in wireless sensor networks. All of those three algorithms, i.e., SSB, NSB, and BB,
perform at most two rounds of message exchange there is not much difference
among SSB, NSB, and BB in terms of query response time, thus we focus on the
data transmission costin the evaluation. Finally, we also conduct experiments to
evaluate algorithms, SSB-T, NSB-T, and NSB-T-Opt under the tree-structured
network topology.
Performance evaluation
The performance evaluation on the distributed algorithms for processing PT-top k
queries in two-tier hierarchical cluster based wireless sensor monitoring system. As
discussed, limited energy budget is a critical issue for wireless sensor network and
radio transmission is the most dominate source of energy consumption. Thus, we
measure the total amount of data transmission as the performance metrics. Notice
that, response time is another important metrics to evaluate query processing
algorithms in wireless sensor networks.
9. SYSTEM CONFIGURATION:-
HARDWARE CONFIGURATION:-
Processor - Pentium –IV
Speed - 1.1 Ghz
RAM - 256 MB(min)
Hard Disk - 20 GB
Key Board - Standard Windows Keyboard
Mouse - Two or Three Button Mouse
Monitor - SVGA
SOFTWARE CONFIGURATION:-
Operating System : Windows XP
Programming Language : JAVA
Java Version : JDK 1.6 & above.
10. REFERENCE:
Mao Ye, Wang-Chien Lee, Dik Lun Lee, and Xingjie Liu, “Distributed
Processing of Probabilistic Top-k Queries in Wireless Sensor Networks”, IEEE
TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 25,
NO. 1, JANUARY 2013.