Analysis of Data Aggregation Techniques in Wireless Sensor Networks (original) (raw)

Data Aggregation to Improve Energy Efficiency in Wireless Sensor Networks

Wireless Sensor Network is a collection of large number of tiny sensor nodes which are connected to each other wirelessly having limited energy. These nodes are mobile in nature. These sensor nodes sense the same data and forward it to the sink node. In this way, sink node receives redundant data and more energy is consumed in processing this data. Data Aggregation plays a very crucial role in Wireless Sensor Networks. We will use data aggregation to reduce the energy consumption by removing redundancy. Thus, with the help of data aggregation, we can enhance the lifetime of the network. In this paper, we have proposed a hybrid data aggregation technique to remove redundancy

A Comprehensive Study on Data Aggregation Techniques in Wireless Sensor Networks

2015

Wireless sensor networks comprises of sensor nodes. These networks have enormous application in environmental observation, calamity management, security and defences, etc. Wireless sensor nodes are extremely smaller and contain restricted processing ability extremely minimum battery power. The limitation of battery power makes the sensor network vulnerable to failure. Data aggregation a very vital method in wireless sensor networks. With the aid of data aggregation decrease the energy utilization by evading redundancy. In this paper, we discussed about data aggregation and its various energy-efficient techniques used for data aggregation in WSN as well as presenting diverse sorts of architectures, its requirements, classification at last its advantages and disadvantages.

Comparative Study On Data Aggregation Techniques for Wireless Sensor Networks

The Wireless Sensor Networks (WSN) is one of the emerging technologies in the field of wireless ad-hoc networks. It consists of several low cost and low power sensor nodes which are capable of sensing, processing and communicating the various environmental parameters. These sensor nodes are randomly and densely deployed in the region of interest. The denser deployment of sensor nodes leads to the sensing and transmission of redundant information. Routing of such redundant data not only saturates the network resources, but also results in the wastage of energy and hence reduces the network lifetime. Data aggregation is the techniques which aggregate the data from different sensor nodes and reduces the redundant transmissions. Data aggregation ensures the efficient utilization of energy and hence enhances the network lifetime. In this paper, we present a survey on different data aggregation techniques for Wireless Sensor Networks.

A Review on: Data Aggregation in Wireless Sensor Network

Data aggregation is an effective technique in saving energy in WSNs. With the help of data aggregation we reduce the energy consumption by eliminating redundancy. The main goal of data aggregation is to gather and aggregate redundant data in an energy efficient manner, so that network lifetime is enhanced. Since it is the most challenging task. Location based aggregation ensures the minimum distance between two nodes while aggregation. In this paper we discuss data aggregation approaches based on routing protocols. Data aggregation framework on wireless sensor network is presented.

Data Aggregation in Wireless Sensor Network

The fast advancement of hardware technology has enabled the development of tiny and powerful sensor nodes, which are capable of sensing, computation and wireless communication. This revolutionizes the deployment of wireless sensor network for monitoring some area and collecting regarding information. However, limited energy constraint presents a major challenge such vision to become reality. Data communication between nodes consumes a large portion of the total energy consumption of the WSNs. Consequently, Data Aggregation techniques can greatly help to reduce the energy consumption by eliminating redundant data traveling back to the base station (sink).This paper signifies the various data aggregation techniques in wireless sensor network and implementation of a data aggregation technique in wireless sensor networks. The main goal of data aggregation is to gather and aggregate data in an energy efficient manner so that network lifetime is enhanced. To provide energy efficiency we have designed energy efficient data aggregation method named E-BIN. We have considered a cluster-based wireless sensor network. Our method executes on each cluster independently and provides an energy efficient data aggregation in a cluster and hence maximize network lifetime for whole network.

Data Aggregation in Wireless Sensor Network: A Survey

2006

Wireless sensor networks (WSNs) consist of sensor nodes. These networks have huge application in habitat monitoring, disaster management, security and military, etc. Wireless sensor nodes are very small in size and have limited processing capability very low battery power. This restriction of low battery power makes the sensor network prone to failure. Data aggregation is very crucial technique in wireless sensor networks. With the help of data aggregation we reduce the energy consumption by eliminating redundancy. In this paper we discuss about data aggregation and its various energy-efficient technique used for data aggregation in WSN.

Energy efficient data aggregation techniques in wireless sensor networks

2013 5th International Conference and Computational Intelligence and Communication Networks, 2013

The data in wireless sensor networks is organized in an efficient manner using data aggregation and data dissemination protocols. Due to the energy constraints in sensor nodes, energy-efficient data aggregation protocols are used to save the node energy and enhance the network life cycle. Deploying additional sensor nodes in the network reduce the resource constraints but increase the rate of data redundancy. This limitation is addressed by the data aggregation protocols in sensor networks. Data aggregation protocols use cluster head node to collect the data, aggregate the data and forward the data to the base station. The primary attributes considered in the design of data aggregation protocols are energy, latency, cluster size and data rate. In this article, we present a novel approach to classify the energy-efficient data aggregation protocols based on structure, search-based and time-based approaches. Analysis for structure-free, structure-based, distance and time-based data aggregation protocols are given in detail. Simulation results indicate that the energy and throughput rate are improved in the cluster-based data aggregation protocols as compared to the structure-free, time-based or search-based data aggregation protocols.

A Novel Data Aggregation Scheme for Energy Efficient Wireless Sensor Networks

The main objective of routing in wireless sensor networks (WSN) is to minimize the energy as well as energy while sending the information to sink. Since, the nodes in the WSNs are resource constrained nature; hence the reduced utilization of energy with minimum delay is an important factor. Some of the application in WSN needs continuous monitoring (i.e. the sensors from the Region of Interest (RI) periodically monitor the field and send the sensed data to the sink) which significantly josemartin2k6@gmail.com increases the data transmission cost in terms of energy, since the nodes in the WSN are resource constrained in nature. In order to reduce the energy utilization of the nodes in these types of applications, the aggregation mechanism plays vital role for providing better trade-off between energy and delay. In this proposed approach a novel Data Aggregation Based Routing Scheme (DABRE) is proposed for time constrained applications of WSNs. In this DABRE an aggregator node is selected from the RI and duly transmits the aggregated information to sink in order to avoid the unnecessary data transmissions as well as unwanted energy utilization.

A Retrospective Survey on Data Aggregation in Wireless Sensor Networks.

International Journal of Engineering Sciences & Research Technology, 2013

Data aggregation is very essential relevance practices in wireless sensor network. On accordingly by the help of data aggregation we minimize the energy utilization by terminating the redundancy. When the wireless sensor network distributed systematically in remote areas or hostile environment and the wireless sensor network have most challenging task is a life time so with help of data aggregation we can enhance the lifetime of the network .In this paper we discuss the data aggregation approaches based on the routing protocols and the algorithm in wireless sensor network. We also discuss the merits and demerits or various performance measures of the data aggregation in the network.

Data Aggregation Techniques in Wireless Sensor Network: Survey

2015

Data aggregation is very important techniques in wireless sensor network. Data aggregations reduce the energy consumption by eliminating redundancy. In this paper the data aggregation approaches based on the routing protocols and algorithm. Data aggregation is basically used to collect and aggregate data in an energy efficient manner so that network lifetime is improved. Data aggregation protocols aims at eliminating redundant data transmission. The data aggregation is a method used to solve the overlap problems in data centric routing. Data aggregation is the process of collecting and aggregating the useful data. Data aggregation is considered as one of the essential procedures for saving the energy. General Terms Your general terms must be any term which can be used for general classification of the submitted material such as Pattern Recognition, Security, Algorithms et. al.