Fault Tolerant Modelling and Aggregation Scheme for WSN

International Review on Computers and Software, 2013

In wireless sensor networks (WSN), most of the existing works on fault tolerant aggregation, does not take all the possible types of faults such as Network level, node level and data level into account. Also in the selection of aggregators and its routing path, many existing works does not consider coverage related problems and link quality. Hence in this approach we propose to design a fault tolerance data aggregation system in WSN. In this technique, the nodes with maximum link quality, residual energy and coverage is chosen as aggregator node. When the aggregator has to transmit the data towards the sink, it constructs the routing tree with good quality links. In order to prevent the data level faults, a cross validation of the data recorded in the nodes is performed. By simulation results, we show that the proposed approach greatly minimizes the network level, node level and data level faults.

International Journal of Computer Applications, 2019

Data aggregation, information trust, and fault tolerance is considered to enhance the correctness and trustworthiness of collected information. It is based on the multilayer aggregation architecture of WMSNs, existing trust-based framework for data aggregation with fault tolerance with a goal to reduce the impact of erroneous data and provide measurable trustworthiness for aggregated result. DAG scheme offers fault lenience for packet loss by forming a Directed Acyclic Graph (DAG), which allows a node to have multiple parent nodes. This method can ensure correct data transmission timing, according to the actual hop count of the edge of the DAG.

Wireless Personal Communications, 2009

The hierarchical cluster-based topology is commonly accepted as an optimal structure for sensor network to increase communication scalability, prolong network lifetime, and reduce data redundancy. However, the data privacy and security are challenging the proliferation of clustering wireless sensor network (CWSN) due to its highly constrained resources and violably deployed environments, which make it infeasible to directly apply traditional cryptography and therefore vulnerable to various attacks. This article proposes a scheme that provides efficient privacy-preserving data fusion as well as malicious data tolerance by mining concealed data within groups. And the dynamically organized groups in each cluster improves resilience against large number of node compromise comparing with the existing data aggregation schemes. The simulation results and mathematical comparison show the effectiveness and fitness of our scheme for CWSN in terms of fault tolerance and process efficiency, which costs a little of additional overheads in memory and communication.

2008 16th International Conference on Software, Telecommunications and Computer Networks, 2008

one of the key issues in wireless sensor networks is data collection from sensors .In this area, data aggregation is an important technique for reducing the energy consumption. Also, reliability and robustness of transferring data is one of the important challenges. The in-network data aggregation approach which is proposed in this paper, besides achieving ideal energy consumption by limiting a number of redundant and unnecessary responses from the sensor nodes, it can increase the chance of receiving data packets at the destination and cause to a more accurate results. By utilization of J-Sim simulator, the proposed approach is compared and evaluated with some important approaches in this area. The simulation results show that by using the proposed approach, the loss amount of the data packets and the average energy consumption of network will be considerably reduced.

International Journal of Innovative Research in Science, Engineering and Technology, 2014

2 . ABSTRACT: Wireless sensor networks are vulnerable to many types of security attacks, including data forgery, false data injection and eavesdropping. Sensor nodes can be compromised by intruders and the compromise nodes can distort data integrity by injecting false data. The transmission of error data depletes the constrained battery power and degrades the bandwidth utilization. False data can be injected by compromised sensor nodes in various ways, including data aggregation and relay. In WSNs, data aggregation is performed by sensor nodes, called data aggregators. This project is to detect false data injected by a data aggregator while performing data aggregation. Data aggregation is implemented in WSNs to eliminate data redundancy, reduce the energy consumption and improve data accuracy. To support data aggregation along with false data detection, every node will be monitored along with Naive Bayes Detector and Fuzzy logic model. By using two detectors we can find the fault da...

2015

Sensor nodes can be compromised by intruders and the compromise nodes can distort data integrity by injecting fault data. Error data during transmission will deplete the constrained battery power and degrades the bandwidth utilization. Fault data can be injected by compromise sensor nodes in various ways, including data aggregation and relay. Data aggregations in WSNs are performed by sensor nodes, called data aggregators. Data aggregation is implemented in WSNs to improve data accuracy, eliminate data redundancy, and reduce the energy consumption. This project is to detect false data injected by a data aggregator while performing data aggregation. Intrusion poses a serious security risk in a network environment. The ever growing new intrusion type poses a serious problem for their detection. The human classification of the available network audit data instances is usually tedious, expensive and time consuming. In this paper, we apply a combination of efficient fault detection algor...

2011

The emergence of senor node architecture with its advance capabilities to control the different hardware units and its enhancements in low power and affordable computational devices has made sensor networks from dream to reality. Sensor networks are deployed in widespread targeted areas where they can work for many years and can sense the environment behavior and its different variables without any need to externally charge their installed batteries, the security in sensor networks has become most important aspect along with low power, as the sensors are unattended so there is more possibility of attack in WSN than usual computer networks. Data aggregation security is an important task as if some false node injects a highly odd data values it will highly effect the whole aggregation process. The paper reviews the need of security for data aggregation and propose an architecture which eliminates the false values injection as well as it provides end to end reliability and data freshness, the architecture is also energy optimized.

Wireless Sensor Networks (WSN) consist of numerous autonomous sensor nodes devices are spatially distributed to sense and monitor various changes of the environment surrounding us. Such devices are also capable to communicate in wireless sensor networks and that can also sense, monitor, transmit, receive or process numerous data like pressure, temperature, sound, motion, humidity etc. Sensor networks are collection of sensor nodes which co-operatively send sensed data to base station. As sensor nodes are battery driven, an efficient utilization of power is essential in order to use networks for long duration hence it is needed to reduce data traffic inside sensor networks, reduce amount of data that need to send to base station. The main goal of data aggregation algorithms is to gather and aggregate data in an energy efficient manner so that network lifetime is enhanced. Power consumption in case of processing of data is less as compared to the transmission of data. Therefore, it is preferable to do in-network-processing of data and reduce packet size. One approach of data aggregation after data gathering is to use distributed system architecture. Wireless sensor networks have limited computational power and limited memory and battery power which leads to increased complexity of applications developed for them. Moreover, this often results in applications that are closely coupled with network protocols. Clustering is a key technique used to extend the lifetime of a sensor network by reducing energy consumption. In this paper, a fault tolerant and energy efficient data aggregation technique on wireless sensor networks is proposed. This work augments the data aggregation scheduling using Connected Dominating Set (CDS) by inculcating energy efficient techniques to enhance the network lifetime through preventing uneven consumption of battery power in the wireless motes. The simulation is carried out using MATLAB and results produced are in agreement with those of the analytical model.

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.

Data aggregation is exceptionally critical methods in wireless sensor network. Since with the assistance of data aggregation we lessen the vitality utilization by wiping out excess. At the point when wireless sensor network sent in remote regions or threatening condition. In the wireless sensor network have the most difficult assignment is an existence time so with help of data aggregation we can improve the lifetime of the network .In this paper we talk about the data aggregation approaches based on the directing conventions, the calculation in the wireless sensor network. And furthermore talk about the favourable circumstances and detriments or different execution measures of the data aggregation in the network.