Heterogeneous wireless sensor networks for flood prediction decision support systems

Andersson, Karl; Hossain, Mohammad Shahadat

doi:10.1109/infcomw.2015.7179373

Cited by 24 publications

(9 citation statements)

References 14 publications

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“…Smart risk assessment systems to predict flood water level by using Belief Rule Base (BRB) have been identified in [5]. In addition, an architecture for building a decision support system for flood prediction using a heterogeneous WSN was proposed in [6]. An agricultural application developed by using WSN where various environmental parameters considered [7].…”

Section: Related Workmentioning

confidence: 99%

Optimal dynamic routing protocols for agro-sensor communication in MANETs

Siddiquee

Khan

Andersson

et al. 2017

2017 14th IEEE Annual Consumer Communications &Amp; Networking Conference (CCNC)

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Abstract-Recent developments in the area of Wireless sensor networks and Mobile ad hoc networks provide flexible and easyto-deploy communication means for a wide range of applications without any need for an infrastructure being pre-configured. Our paper studies performance of proactive and reactive routing protocols in a scenario with agro-sensors. Our results, achieved by simulating a network both in OPNET Modeler and NS2, show that the AODV routing protocol performs better for a large-scale network (where node density is higher) while the DSR routing protocol performs better in a small-scale network given the particular scenario we studied.

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Section: Related Workmentioning

confidence: 99%

Optimal dynamic routing protocols for agro-sensor communication in MANETs

Siddiquee

Khan

Andersson

et al. 2017

2017 14th IEEE Annual Consumer Communications &Amp; Networking Conference (CCNC)

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“…The system also provides an example of using web technologies with expert system. In our previous work [4], we proposed a new architecture for building decision support systems using heterogeneous wireless sensor networks. Using this architecture, we described a smart risk assessment system using belief-rule based decision support systems in [16] and [18] where a case study was carried out on the location-dependent service, aimed for tourists.…”

Section: Related Workmentioning

confidence: 99%

“…An efficient heterogeneous wireless sensor network (WSN) is needed for collecting and transmitting data as sensors are deployed in harsh environment. In [4], we proposed an efficient heterogeneous WSN network combination of ZigBee, Ethernet, Wi-Fi connectivity and SMS suitable for flood prediction.…”

Section: Introductionmentioning

confidence: 99%

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A web based belief rule based expert system to predict flood

Islam

Andersson

Hossain

2015

Proceedings of the 17th International Conference on Information Integration and Web-Based Applications &Amp; Services

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Natural calamity disrupts our daily life and brings many sufferings in our life. Among the natural calamities, flood is one of the most catastrophic. Predicting flood helps us to take necessary precautions and save human lives. Several types of data (meteorological condition, topography, river characteristics, and human activities) are used to predict flood water level in an area. In our previous works, we proposed a belief rule based flood prediction system in a desktop environment. In this paper, we propose a web-service based flood prediction expert system by incorporating belief rule base with the capability of reading sensor data such as rainfall, river flow on real time basis. This will facilitate the monitoring of the various flood-intensifying factors, contributing in increasing the flood water level in an area. Eventually, the decision makers would able to take measures to control those factors and to reduce the intensity of flooding in an area.

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“…It is therefore a great need to secure the communication medium against intrusions by applying reliable security systems, such as IDSs with intelligent security measures [1] [2][3] [4]. Besides, it is important to ensure the security by detecting intrusion in Wireless Sensor Networks (WSN) based systems, which are deployed to assess the risk of flooding, to support the irrigation and many other areas [5] [12].…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Anomaly Based Network Intrusion Detection Systems

Abedin

Siddiquee

Bhuyan

et al. 2018

2018 IEEE 43rd Conference on Local Computer Networks Workshops (LCN Workshops)

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Because of the increased popularity and fast expansion of the Internet as well as Internet of things, networks are growing rapidly in every corner of the society. As a result, huge amount of data is travelling across the computer networks that lead to the vulnerability of data integrity, confidentiality and reliability. So, network security is a burning issue to keep the integrity of systems and data. The traditional security guards such as firewalls with access control lists are not anymore enough to secure systems. To address the drawbacks of traditional Intrusion Detection Systems (IDSs), artificial intelligence and machine learning based models open up new opportunity to classify abnormal traffic as anomaly with a self-learning capability. Many supervised learning models have been adopted to detect anomaly from networks traffic. In quest to select a good learning model in terms of precision, recall, area under receiver operating curve, accuracy, F-score and model built time, this paper illustrates the performance comparison between Naïve Bayes, Multilayer Perceptron, J48, Naïve Bayes Tree, and Random Forest classification models. These models are trained and tested on three subsets of features derived from the original benchmark network intrusion detection dataset, NSL-KDD. The three subsets are derived by applying different attributes evaluator's algorithms. The simulation is carried out by using the WEKA data mining tool.

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Heterogeneous wireless sensor networks for flood prediction decision support systems

Cited by 24 publications

References 14 publications

Optimal dynamic routing protocols for agro-sensor communication in MANETs

Optimal dynamic routing protocols for agro-sensor communication in MANETs

A web based belief rule based expert system to predict flood

Performance Analysis of Anomaly Based Network Intrusion Detection Systems

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