Request pdf practical data compression in wireless sensor networks. A survey of security issues in wireless sensor networks yong wang university of nebraskalincoln. In certain wsn applications, it is not necessary or ef. These include issues such as localization, coverage, synchronization, network security, and data aggregation and compression.
Data compression is used to reduce the amount of information or data transmitted by source nodes. The sensor nodes can communicate among themselves using radio signals. These networks are used to monitor physical or environmental conditions like sound, pressure, temperature and cooperatively pass data through the network to a main location as shown in the figure. Jennifer yick, biswanath mukherjee, dipak ghosal reported by jiang. A survey power consumption is a critical problem affecting the lifetime. On the other hand, the network topology in a wsn may change drastically since nodes can be added and removed easily. There could be one or few sink nodes and a fixed number of sensor nodes in wireless sensor networks and all the sensor nodes have contact with the base station. In a wsn sensor network may build of more than hundreds or thousands of lowcost sensors in wireless sensor network. In these largescale sensing networks, data compression is required for encoding the data collected from sensors into fewer bits, and hence reducing energy and bandwidth consumption. To gather data from the sensor nodes, underwater vehicles are to be used. A survey on routing protocols for wireless sensor networks. Abstractwireless sensor networks wsns open a new research field for pervasive computing and contextaware. This has been enabled by the availability, particularly in recent years, of sensors that are smaller, cheaper, and intelligent.
F 1 introduction a wireless sensor network wsn is composed of one or several remote sinks and. A wireless sensor network has been designed to perform the highlevel of information processing tasks like detection, classification and tracking. In this chapter, we give a comprehensive survey of recent. Due to limited resources, data compression dc techniques are proposed to minimize the size of data being stored or communicated. Energy efficiency, wireless sensor networks, data compression, network lifetime, energy consumption model date received. A wireless sensor node is equipped with sensing and computing devices, radio transceivers and power components. It is therefore important to carefully manage the energy consumption of each sensor node subunit in order to maximize the network lifetime of wsn. In this paper the survey is based on data compression in wireless sensor network for minimize the energy consumption and for processing and transmission of data. Introduction to wireless sensor networks types and. A survey on sensor networks eecs instructional support.
Realization of these and other sensor network applications require wireless ad hoc. A survey power consumption is a critical problem affecting the lifetime of wireless sensor networks. Typically a wireless sensor network contains hundreds of thousands of sensor nodes. Pdf a survey on data compression in wireless sensor. To perform the provenances compression in resourcetightened wsns, we present a cluster. With increasing popularity and applicability of wireless sensor networks, the limitations which restrict the lifetime of network are also arising. We compare and contrast the various types of wireless sensor networks.
Ratedistortion balanced data compression for wireless. A survey on wireless multimedia sensor networks ian f. Application of compressive sensing techniques in distributed. Sensor network hardware a wireless sensor is characterised by its. Physical, data link, network, transport and application layers. The plain data collection is a method where each sensor node sends its measurement to. Pervasive computing 1 data compression techniques in wireless sensor networks youchiun wang abstractwireless sensor networks wsns open a new research. This allows random deployment in inaccessible terrains or disaster relief operations. Radio link quality estimation in wireless sensor networks. As radio communications is the main source of energy consumption, reducing transmission overhead would be extended the sensor node lifetime. An adaptive lossless data compression scheme for wireless. Kimura and latifi 2005, 2005, compression techniques for wsn.
There are many data compression algorithm which are applicable for wireless sensor networks 6. Depending on the application of the sensor network, the data delivery model to the sink can be continuous, eventdriven, querydriven and hybrid. Many wsn applications aim at longterm environmental monitoring. A survey on data compression techniques in wireless sensor network a. Sensor networks are densely deployed as well as prone to failure. For instance, data compression might reduce the amount of energy used for radio transmission, but uses. In wireless sensor networks wsns, data provenance records the data source and the forwarding and the aggregating information of a packet on its way to the base station bs. Data aggregation and gathering transmission in wireless sensor.
The objective of this article is to survey current visual sensor platforms according to in network processing and compression coding techniques together with their targeted applications. Jemal abawajy introduction wireless sensor networks wsns typically consist of numerous sensor nodes, which accomplish their task over a specific field. Pdf a survey on data compression in wireless sensor networks. The objective of this article is to survey current visual sensor platforms according to innetwork processing and compressioncoding techniques together with their targeted applications. Data aggregation and gathering transmission in wireless. The data collection in wireless sensor networks is carried out by three methods is the plain data collection, network data aggregation and network compression. A survey on data compression in wireless sensor networks. A survey on data compression in wireless sensor networks abstract. Wireless sensor network wsn is composed of numerous tiny smart sensors nodes integrated with internet of things iot play a crucial role in many. Data aggregation and gathering transmission in wireless sensor networks. One of the approaches include the compression of data to be transmitted and recovery of it at sink node in wsn.
This survey comprehensively explains the different views of qoi on attributes, metrics and wsn. The topology of a sensor network changes very frequently due to failures or mobility. Big data analytics for sensornetwork collected intelligence. A survey of security issues in wireless sensor networks. It includes the encoding information at data generating nodes and decoding it at sink node. Big data analytics for sensornetwork collected intelligence explores stateoftheart methods for using advanced ict technologies to perform intelligent analysis on sensor collected data.
Under this, different data compression algorithms which are compatible for wireless sensor network are described which helps to save energy in wireless sensor network. Wireless sensor networks consist of small nodes with sensing, computation, and wireless communications capabilities. These sensor nodes form a network by interacting with each other either directly or via. Finally, we provide a summary of the current sensor technologies. Chowdhury broadband and wireless networking laboratory, school of electrical and computer engineering, georgia institute of technology. In this paper, we propose a data compressing technique using temporal correlation of sensing data, data transformation from one dimension to two dimension, and data separation. Quality of information in wireless sensor networks. Clustering based routing protocols for wireless sensor networks. We survey the current provisioning, management and control issues in wsns. A survey of data compression techniques in sensor network. In that routing technique, some of the sensor nodes work as a data aggregation node.
Compression is useful because it helps us to reduce the resources use, such as data. The long propagation delay and sensor failures are a big challenge to the underwater communication system. A survey on data compression in wireless sensor networks ieee. Coding by order is utilized within the data funneling routing technique proposed in 18. When a specific objective takes place in a specific area, it might be detected by more than one sensor. Fun hu a a mobile and satellite communication research centre, school of engineering, design and technology, university of bradford, united kingdom. The wireless sensors continuously monitor the physical process and transmit information to the base station. Pervasive computing 1 data compression techniques in wireless.
In this paper, a survey is done on various data compression techniques in wireless sensor network. One of the main characteristics of wireless sensor networks wsns is the constrained energy resources of their wireless sensor nodes. Generally the users need only resourceful aggregate functions. Structural view of sensor network 3 routing protocols for wsns can be classified 4 mainly. Sep 25, 2019 when a specific objective takes place in a specific area, it might be detected by more than one sensor. The individual nodes in a wireless sensor network wsn are. A survey about predictionbased data reduction in wireless. Data centric routing protocols in wireless sensor n. Wsn is a wireless network that consists of base stations and numbers of nodes wireless sensors. A survey on data compression in wireless sensor networks naoto kimura and shahram latifi electrical and computer engineering, university of nevada, las. Each sensor node to be performed the work as performing an. Data compression techniques in wireless sensor networks. Introduction to wireless sensor networks data dissemination and routing protocols. Abstractthe rising field of wireless sensor network wsn has potential benefits for realtime monitoring of a physical phenomenon.
Implementation of protocols at different layers in the protocol stack can significantly affect energy consumption, endtoend delay, and system efficiency. After the compression of data is done it is been send to the sink. Directed diffusion dd 2 may be a popular information aggregation paradigm for wireless device networks. In proceedings of the international conference on information technology. The number of sensor nodes in a sensor network can be several orders of magnitude higher than the nodes in an ad hoc network. Data compression seeks to reduce the number of bits used to store or transmit information. A wireless sensor network 12 is defined as a network of so many small low cost, disposable, low power devices, called sensor nodes, which are randomly distributed in order to perform their allotted tasks such as weather monitoring, fire sensing etc. Coverage and connectivity issues in wireless sensor networks. Explosive growth of data in digital world leads to the requirement of efficient technique to store and transmit data. A comparison of these data compression techniques is also given in this chapter. A radio link quality estimation in wireless sensor. Various visual sensor platforms have been developed with the aim of integrating visual data to wireless sensor applications.
Index termscompressed sensing, data compression, data aggregation, distributed source coding, slepianwolf theorem, wavelet transformation, wireless sensor networks. Number of sensor network can be several orders of magnitude higher than the node in adhoc network. However, the computational burdens of the intended compression algorithms must be. Practical data compression in wireless sensor networks. The authors present a communication architecture for sensor networks and proceed to survey the current research pertaining to all layers of the protocol stack.
We envision that, in future, wireless sensor networks will be an integral part of our lives, more so than the presentday personal computers. Pervasive computing 1 data compression techniques in. Cs for wireless communication 58 2017 a survey on factors to be considered when applying cs for channel estimation, interference cancellation, symbol detection, support identi. Wireless sensor networks wsns are resource constraint. Clustering based routing protocols for wireless sensor. Request pdf a survey on data compression in wireless sensor networks wireless sensor networks wsns are resource constraint. We provide a detailed investigation of current proposals in the physical, data link, network, transport, and application layers, respectively. In this research work, a survey on wireless sensor networks wsn and their technologies, standards and applications was carried out. Alish preethi1, anjali ramakrishnan2 1department of electronics and communication, sathyabama university, india 2department of electronics and communication, sathyabama university, india abstract. Data suppression definition data compression issues arise in a sensor network when designing protocols for e ciently collecting all data observed by the sensor nodes at an internetconnected base station. Although this issue has been addressed in several works and received much attention over the years, the most recent advances pointed out that the energy harvesting and wireless charging techniques may offer means to overcome such a limitation.
Data compression technique for wireless sensor networks. Coverage and connectivity issues in wireless sensor. A sensor network is dened as being composed of a large number of nodes which are deployed densely. More formally, let x i denote an attribute being observed by a node in the sensor. The book shows how to develop systems that automatically detect natural and humanmade events, how to examine peoples behaviors, and how to unobtrusively provide better services. Many routing, power management, and data dissemination. A survey on sensor networks university of california. A survey on data aggregation techniques in iot sensor.
International journal of distributed increasing network. A survey article in journal of network and computer applications 351. It is observed that the energy utilized in transmission is more than processing the data in wsn. Sensor nodes are prone to failures due to harsh environments and energy constraints. Ratedistortion balanced data compression for wireless sensor. Applications of cs in wsns have been discussed to some extent in several related papers. In this survey article, we investigate the sensing coverage and network connectivity problem. A survey on data compression techniques in wireless sensor. Model frequency max data rate modulation tx current rx current tx power cc 3000 mhz 76. A radio link quality estimation in wireless sensor networks. So, many approaches are proposed to tackle the problem of power consumption, used while transmission.
Clusterbased arithmetic coding for data provenance. A wireless sensor network wsn has important applications such as remote environmental monitoring and target tracking. Akyildiz, weilian su, yogesh sankarasubramaniam, and erdal cayirci. Next, we analyse the empirical characterization of lowpower links in section 3, and discuss their statistical estimation in section 4. A survey on routing protocols for wireless sensor networks kemal akkaya. Aug 29, 2015 underwater wireless sensor network system comprises of sensor nodes and vehicles which are deployed under the water. The routing in a sensor network is very challenging due to several characteristics that distinguish them from wireless ad hoc networks. The plain data collection is a method where each sensor node sends its measurement to a base node at which data is stored and processed. Thepositionofsensornodesneednotbeengineered or predetermined.
1242 702 739 1331 1343 1575 1373 729 227 550 1336 32 1246 707 1548 1559 1049 455 1326 1045 567 438 730 457 207 849 979 749 533 1330 549 1266 219 1007