Secure cluster based data aggregation in wireless sensor networks

Ranjani, S. Siva; Radhakrishnan, S.; Thangaraj, C.

doi:10.1109/icsemr.2014.7043609

Cited by 11 publications

(4 citation statements)

References 4 publications

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“…S. S. Ranjani, Dr. S. Radhakrishnan and Dr. C.Thangaraj authors modify their Energy efficient Cluster Based Data Aggregation (ECBDA) system to deliver secure data transmission [13]. Subsequently, sensors nodes are low powered immature; it is not feasible to put on typical cryptography techniques.…”

Section: Related Workmentioning

confidence: 99%

Improving IF Algorithm for Data Aggregation Techniques in Wireless Sensor Networks

Ingle

Rao

2018

IJECE

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In Wireless Sensor Network (WSN), fact from different sensor nodes is collected at assembling node, which is typically complete via modest procedures such as averaging as inadequate computational power and energy resources. Though such collections is identified to be extremely susceptible to node compromising attacks. These approaches are extremely prone to attacks as WSN are typically lacking interfere resilient hardware. Thus, purpose of veracity of facts and prestige of sensor nodes is critical for wireless sensor networks. Therefore, imminent gatherer nodes will be proficient of accomplishment additional cultivated data aggregation algorithms, so creating WSN little unresisting, as the performance of actual low power processors affectedly increases. Iterative filtering algorithms embrace inordinate capacity for such a resolution. The way of allocated the matching mass elements to information delivered by each source, such iterative algorithms concurrently assemble facts from several roots and deliver entrust valuation of these roots. Though suggestively extra substantial against collusion attacks beside the modest averaging techniques, are quiet vulnerable to a different cultivated attack familiarize. The existing literature is surveyed in this paper to have a study of iterative filtering techniques and a detailed comparison is provided. At the end of this paper new technique of improved iterative filtering is proposed with the help of literature survey and drawbacks found in the literature.

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Section: Related Workmentioning

confidence: 99%

Improving IF Algorithm for Data Aggregation Techniques in Wireless Sensor Networks

Ingle

Rao

2018

IJECE

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“…Distinguish the adjoining join planning issue in WSNs, where every node is relegated back to back time spaces so that the node can wakeup only once in a booking period to satisfy its data assortment task. The goal of the impediment is to discover an obstruction free hyperlink scheduling with the base number of time spaces utilized [9]. Handle the data aggregation and assurance issues together.…”

Section: In Network Aggregation Approachmentioning

confidence: 99%

Greedy Approach based Energy Efficient ACO Routing in Wireless Sensor Network

Sharma¹,

Kushwah²

2016

IJCA

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Wireless sensor networks (WSNs) incorporate sensor nodes. These networks have gigantic application in habitat monitoring, disaster management, protection and military, etc. Wireless sensor nodes are very small in measurement and have limited processing ability very low battery power. This restriction of low battery power makes the sensor network susceptible to failure. Data aggregation could be very imperative process in WSNs. Data aggregation is new method for energy consumption in WSN. This paper is expending greedy approach and ant colony optimization technique in Data aggregation.

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“…approach permits the defective sensors to isolate and, in contrast, to approximate the defects of amplitudes.S. SivaRanjani et al (2014) experimentally investigated and modified the existing algorithm like Energy efficient Cluster based Data Aggregation (ECBDA) and proposed Secure Cluster based Data Aggregation (SCDA). In this work used the cluster concept for data aggregation to detect the malicious node and Bayesian fusion algorithm for calculating the trust probability to enable secure transmission.…”

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confidence: 99%

A Survey on Security Issues in Sensor Cloud Environment for Agriculture Irrigation Management System

2020

jcr

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Wireless sensor networks are used in various fields, such as military, healthcare, agriculture, environment monitoring, Monitoring and preparation of critical infrastructure. However, due to some of the restrictions of WSNs on storage, power consumption, communication, computation, scalable, security and privacy; people are looking forward cloud environment with large storage framework for the processing and storing of real time data. The cloud environment is providing large storage space and better services to the people in scalable manner. Sensor-cloud infrastructure is popular, providing an open, flexible and reconfigurable platform for many monitoring and control applications. In this work presenting a sensor-cloud infrastructure for storing data related to agriculture, Infrastructure that shows how to transfer data from WSNs to the cloud. In addition we addressed malicious attacks, issues and challenges in sensor cloud infrastructure. The idea of our proposed work is to collect all the samples for the soil. We choose the most favored plants around the India, then, select three plants, namely rice, sugarcane and wheat. After selecting the plants we collect data related to agriculture irrigation from different types of sensors such as soil moisture, temperature, humidity, and soil PH, CO2 and light sensors. Based on the data collected, our proposed system advice to farmers that usage of pesticides, fertilizers which are most suitable to their lands at the same time, we integrate to improve agriculture productivity in India.

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Secure cluster based data aggregation in wireless sensor networks

Cited by 11 publications

References 4 publications

Improving IF Algorithm for Data Aggregation Techniques in Wireless Sensor Networks

Improving IF Algorithm for Data Aggregation Techniques in Wireless Sensor Networks

Greedy Approach based Energy Efficient ACO Routing in Wireless Sensor Network

A Survey on Security Issues in Sensor Cloud Environment for Agriculture Irrigation Management System

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