A REVIEW ON A NOVEL APPROACH FOR DATA COLLECTION IN WSN

Wireless sensor networks have become increasingly popular due to their wide range of application. Clustering sensor nodes organizing them hierarchically have proven to be an effective method to provide better data aggregation and scalability for the sensor network while conserving limited energy. Minimizing the energy consumption of a wireless sensor network application is crucial for effective realization of the intended application in terms of cost, lifetime, and functionality. However, the minimizing task is hardly possible as no overall energy cost function is available for optimization. In this paper, we have proposed a modified alogirthm of leach where hard and soft threshold values will be applied for improving the overall throughput and network lifetime.

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A Distributed Collision-Free Data Aggregation Scheme for wireless sensor network

International Journal of Distributed Sensor Networks ◽

10.1177/1550147718795847 ◽

2018 ◽

Vol 14 (8) ◽

pp. 155014771879584 ◽

Cited By ~ 1

Author(s):

Danyang Qin ◽

Yan Zhang ◽

Jingya Ma ◽

Ping Ji ◽

Pan Feng

Keyword(s):

Wireless Sensor Network ◽

Sensor Network ◽

Data Aggregation ◽

Large Scale ◽

Sensor Nodes ◽

Wireless Sensor ◽

Network Delay ◽

Free Data ◽

Aggregation Scheme ◽

Aggregation Technology

Due to the advantages of large-scale, data-centric and wide application, wireless sensor networks have been widely used in nowadays society. From the physical layer to the application layer, the multiply increasing information makes the data aggregation technology particularly important for wireless sensor network. Data aggregation technology can extract useful information from the network and reduce the network load, but will increase the network delay. The non-exchangeable feature of the battery of sensor nodes makes the researches on the battery power saving and lifetime extension be carried out extensively. Aiming at the delay problem caused by sleeping mechanism used for energy saving, a Distributed Collision-Free Data Aggregation Scheme is proposed in this article to make the network aggregate data without conflicts during the working states periodically changing so as to save the limited energy and reduce the network delay at the same time. Simulation results verify the better aggregating performance of Distributed Collision-Free Data Aggregation Scheme than other traditional data aggregation mechanisms.

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Energy Consumption Analysis of Secure and Clustered Wireless Sensor Network

International Journal of Embedded and Real-Time Communication Systems ◽

10.4018/ijertcs.2014010102 ◽

2014 ◽

Vol 5 (1) ◽

pp. 15-36 ◽

Cited By ~ 1

Author(s):

Ashim Pokharel ◽

Ethiopia Nigussie

Keyword(s):

Energy Efficiency ◽

Energy Consumption ◽

Wireless Sensor Network ◽

Sensor Network ◽

Data Aggregation ◽

Secure Communication ◽

Base Station ◽

Sensor Nodes ◽

Wireless Sensor ◽

Design Strategies

Due to limited energy resources, different design strategies have been proposed in order to achieve better energy efficiency in wireless sensor networks, and organizing sensor nodes into clusters and data aggregation are among such solutions. In this work, secure communication protocol is added to clustered wireless sensor network. Security is a very important requirement that keeps the overall system usable and reliable by protecting the information in the network from attackers. The proposed and implemented AES block cipher provides confidentiality to the communication between nodes and base station. The energy efficiency of LEACH clustered network and with added security is analyzed in detail. In LEACH clustering along with the implemented data aggregation technique 48% energy has been saved compared to not clustered and no aggregation network. The energy consumption overhead of the AES-based security is 9.14%. The implementation is done in Contiki and the simulation is carried out in Cooja emulator using sky motes.

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An Evaluation of Various Clustering and Routing Protocols in Wireless Sensor Networks

International Journal of Engineering and Advanced Technology - Regular Issue ◽

10.35940/ijeat.a9975.109119 ◽

2019 ◽

Vol 9 (1) ◽

pp. 3184-3187

Keyword(s):

Wireless Sensor Network ◽

Sensor Network ◽

Routing Protocols ◽

Routing Algorithm ◽

Life Time ◽

Research Field ◽

Sensor Nodes ◽

Wireless Sensor ◽

Network Growth ◽

Wide Range

In the recent field of research the wireless sensor network plays an important role. Wireless sensor network is an important technology in this era. A Wireless Sensor Network (WSN) is a distributed network contains enormous sensor nodes with wide range of application. It transmits unlimited and enormous data like image, video, audio and data through end to end network. WSNs offer much solution to remote real time monitoring, recognition of physical occurrence and target tracking applications. This network growth is increasingly rapidly day by day and made the research field in difficult resurgence. The extended network lifetime, effective load balancing and scalability are essential for WSNs. The life time of the wireless network can be extended by the concept of clustering .Clustering is process of grouping the smaller localized networks in highly structured way. Diverse cluster technology available based on the network the clustering concept will be used. Efficient routing algorithm provide the way for efficient usage of bandwidth and reduce the delay in the network . This paper provides the survey of clustering and routing protocols to improve the efficiency in wireless technology in recent years

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A REVIEW ON A HYBRID APPROACH USING MOBILE SINK AND FUZZY LOGIC FOR REGION BASED CLUSTERING IN WSN

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY ◽

10.24297/ijct.v16i2.5999 ◽

2017 ◽

Vol 16 (2) ◽

pp. 7586-7590

Author(s):

Amneet Kaur ◽

Harpreet Kaur

Keyword(s):

Wireless Sensor Network ◽

Sensor Networks ◽

Sensor Network ◽

Hybrid Approach ◽

Mobile Sink ◽

Base Station ◽

Sensor Nodes ◽

Wireless Sensor ◽

Wide Range ◽

Energy Constrained

A Wireless Sensor Network or WSN is supposed to be made up of a large number of sensors and at least one base station. The sensors are autonomous small devices with several constraints like the battery power, computation capacity, communication range and memory. They also are supplied with transceivers to gather information from its environment and pass it on up to a certain base station, where the measured parameters can be stored and available for the end user. In most cases, the sensors forming these networks are deployed randomly and left unattended to and are expected to perform their mission properly and efficiently. As a result of this random deployment, the WSN has usually varying degrees of node density along its area. Sensor networks are also energy constrained since the individual sensors, which the network is formed with, are extremely energy-constrained as well. Wireless sensor networks have become increasingly popular due to their wide range of application. Clustering sensor nodes organizing them hierarchically have proven to be an effective method to provide better data aggregation and scalability for the sensor network while conserving limited energy. Minimizing the energy consumption of a wireless sensor network application is crucial for effective realization of the intended application in terms of cost, lifetime, and functionality. However, the minimizing task is hardly possible as no overall energy cost function is available for optimization.

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Enable Efficient Data Aggregation for Region-Based Top-K Queries in Wireless Sensor Networks

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.556-562.6311 ◽

2014 ◽

Vol 556-562 ◽

pp. 6311-6315

Author(s):

Yong Qing Wang ◽

Jing Tian Tang ◽

Xing Po Ma

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Data Storage ◽

Data Aggregation ◽

Energy Cost ◽

Sensor Node ◽

Base Station ◽

Sensor Nodes ◽

Wireless Sensor

We study data aggregation for region-based top-k queries in wireless sensor networks, which is one kind of internet of things. Because the energy of sensor nodes is limited and a sensor node will die if it has no energy left, one of the important targets for all protocols in wireless sensor networks is to decrease the energy consumption of the sensor nodes. For a sensor node, communication cost is much more than other kinds of energy cost such as energy cost on computation and data storage. Thus, a very efficient way to decrease the energy cost of the sensor nodes is to decrease the quality of the sensing data that will be transmitted to the base station. In this paper, we use the technique of data aggregation to achieve this goal, and propose an algorithm to construct a novel Data Aggregation Tree (DAT) in the query region. To check the efficiency of DAT, we have made a simulation on OMNET, and the results show that DAT can shrink large quality of data when they are transmitted to the base station, and the life time of the sensor networks can thus be prolonged..

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Data Aggregation for Failure Tolerance in Wireless Sensor Network

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.347-350.965 ◽

2013 ◽

Vol 347-350 ◽

pp. 965-969

Author(s):

Na Wang ◽

Yue Ping Wu

Keyword(s):

Wireless Sensor Network ◽

Sensor Network ◽

Data Aggregation ◽

Sensor Nodes ◽

Wireless Sensor ◽

Data Set ◽

Failure Tolerance ◽

Aggregation Scheme ◽

Set Aggregation ◽

Isolated Point

One of the critical tasks in designing a wireless sensor network is to monitor, detect, and report various useful occurrences of events in the network domain which are determined by the result of data aggregation. Fault tolerance is critical to the efficiency of data aggregation scheme. One important reason is that sensor nodes are neither reliable nor stabile. In this paper, we present an improved k-means data aggregation algorithm considering the proposal of isolated point. Each cluster includes three types of sets: aggregation data, fault data set and abnormal data set. Aggregation data comes from normal sensors in this cluster through the improved K-means aggregation algorithm and abnormal nodes can be detected according to the aggregation result.

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Data Aggregation Scheme Using Multiple Mobile Agents in Wireless Sensor Network

10.5772/intechopen.93587 ◽

2021 ◽

Author(s):

Mohamed Younis Mohamed Alzarroug ◽

Wilson Jeberson

Keyword(s):

Wireless Sensor Networks ◽

Wireless Sensor Network ◽

Sensor Networks ◽

Sensor Network ◽

Mobile Agent ◽

Data Aggregation ◽

Sensor Nodes ◽

Wireless Sensor ◽

Itinerary Planning ◽

Aggregation Scheme

Wireless sensor networks (WSNs) consist of large number of sensor nodes densely deployed in monitoring area with sensing, wireless communications and computing capabilities. In recent times, wireless sensor networks have used the concept of mobile agent for reducing energy consumption and for effective data collection. The fundamental functionality of WSN is to collect and return data from the sensor nodes. Data aggregation’s main goal is to gather and aggregate data in an efficient manner. In data gathering, finding the optimal itinerary planning for the mobile agent is an important step. However, a single mobile agent itinerary planning approach suffers from two drawbacks, task delay and large size of the mobile agent as the scale of the network is expanded. To overcome these drawbacks, this research work proposes: (i) an efficient data aggregation scheme in wireless sensor network that uses multiple mobile agents for aggregating data and transferring it to the sink based on itinerary planning and (ii) an attack detection using TS fuzzy model on multi-mobile agent-based data aggregation scheme is shortly named as MDTSF model.

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Autoregressive integrated moving average model–based secure data aggregation for wireless sensor networks

International Journal of Distributed Sensor Networks ◽

10.1177/1550147720912958 ◽

2020 ◽

Vol 16 (3) ◽

pp. 155014772091295 ◽

Cited By ~ 3

Author(s):

Hongtao Song ◽

Shanshan Sui ◽

Qilong Han ◽

Hui Zhang ◽

Zaiqiang Yang

Keyword(s):

Wireless Sensor Network ◽

Sensor Network ◽

Data Aggregation ◽

Moving Average ◽

Sensor Nodes ◽

Wireless Sensor ◽

Average Model ◽

Autoregressive Integrated Moving Average ◽

Moving Average Model ◽

Secure Data Aggregation

Nodes in a wireless sensor network are normally constrained by hardware and environmental conditions and face challenges of reduced computing capabilities and system security vulnerabilities. This fact calls for special requirements for network protocol design, security assessment models, and energy-efficient algorithms. Data aggregation is an effective energy conservation technique, which removes redundant information from the data aggregated from neighbor sensor nodes. How to further improve the effectiveness of data aggregation plays an important role in improving data collection accuracy and reducing the overall network energy consumption. Unfortunately, sensor nodes are normally deployed in an open environment and thus are subject to various attacks conducted by adversaries. Consequently, data aggregation brings new challenges to wireless sensor network security. In this article, we propose a novel secure data aggregation solution based on autoregressive integrated moving average model, a time series analysis technique, to prevent private data from being learned by adversaries. We leverage the autoregressive integrated moving average model to predict the data volume in sensor nodes, and update and synchronize the model as needed. The experimental results demonstrate that our model provides accurate predictions and that, compared with competing methods, our solution achieves better security, lower computation and communication costs, and better flexibility.

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TDAL: Thoroughly Data Aggregation of Low Energy Devices in Secure Heterogeneous Wireless Sensor Networks

Journal of Sensors ◽

10.1155/2014/938480 ◽

2014 ◽

Vol 2014 ◽

pp. 1-15 ◽

Cited By ~ 1

Author(s):

Tristan Daladier Engouang ◽

Yun Liu ◽

Zhenjiang Zhang

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Sensor Network ◽

Data Aggregation ◽

Energy Efficient ◽

Sensor Nodes ◽

Wireless Sensor ◽

Energy Devices ◽

Heterogeneous Wireless Sensor Networks ◽

Depth Analysis

The heterogeneous wireless sensor networks (HWSNs), composed of multiple types of tiny devices (sensor nodes) with wireless communication capability and suffering from computational resources constrains, enable interacting with the physical world, like never before. Innovative applications are developed for security, industrial production, monitoring, and tracking, but theoretical assumptions on these distributed data may not hold in a real scenario. In this paper, the emphasis is on accurate data and sensor nodes privacy preserving while transmitting their sensory information amongst neighbors toward the sink based on parent-child relationship in the wireless sensor network (WSN) environment, while ensuring energy saving. Data aggregation is a known energy efficient technique that is investigated through in-depth analysis of sensor communication through game theory, considering various embodiments of methods like elliptic curve cryptography for secrecy between nodes. This paper endeavors to provide new perspective for secure and energy efficient data aggregation models, where the heterogeneity of a sensor network environment makes it more complex to predict the overall network outputs.

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