An energy efficient hierarchical approach using multimedia and scalar sensors for emergency services

Download

12623535.pdf

Date

2019-7

Author

Kızılkaya, Burak

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

305
views

306
downloads

Recently, environment monitoring and detection systems became more accessible with the help of IoT applications. Furthermore, connecting smart devices makes monitoring applications more accurate and reliable. On the other hand, optimizing the energy requirement of smart sensors especially while transmitting data has always been very important, and there are different applications to create energy efficient IoT systems. Detailed analysis of lifetimes of various types of sensors (survival analysis) has therefore become essential. For the environment monitoring scenarios, with the help of smart multimedia sensors, more precise and accurate real-time information can be extracted. Video and audio sensors can be used as complementary mechanisms to have more accurate information. However, transmission of visual data is known to be one of the most costly operations for wireless multimedia sensor networks. To minimize energy consumption, visual data transmission should be minimized. In this thesis, a novel hierarchical approach is presented for emergency applications. Proposed framework makes use of multimedia and scalar sensors hierarchically to minimize the visual data transmission and in turn energy consumption. In addition, edge computing is introduced where lightweight machine learning algorithms are used for edge processing to prevent unnecessary data transmission. The heterogeneous sensor network architecture is applied within the domain of forest fire detection systems. Proposed framework is evaluated in terms of accuracy of detection as well as energy efficiency. The results are quite promising with validation accuracy of 98.20% and 29.94% energy saving compared to multimedia sensor based surveillance systems.

Subject Keywords

WSNs, WMSNs, IoT, Energy Efficiency, Heterogeneous Network Architecture, Edge Computing, Machine Learning

URI

https://hdl.handle.net/11511/69694

Collections

Northern Cyprus Campus, Thesis

Suggestions

OpenMETU
Core

An Effective Forest Fire Detection Framework Using Heterogeneous Wireless Multimedia Sensor Networks Kizilkaya, Burak; Ever, Enver; Yatbaz, Hakan Yekta; Yazıcı, Adnan (2022-05-01) With improvements in the area of Internet of Things (IoT), surveillance systems have recently become more accessible. At the same time, optimizing the energy requirements of smart sensors, especially for data transmission, has always been very important and the energy efficiency of IoT systems has been the subject of numerous studies. For environmental monitoring scenarios, it is possible to extract more accurate information using smart multimedia sensors. However, multimedia data transmission is an expensi...
Explainable Security in SDN-Based IoT Networks Sarica, Alper Kaan; Angın, Pelin (2020-12-01) The significant advances in wireless networks in the past decade have made a variety of Internet of Things (IoT) use cases possible, greatly facilitating many operations in our daily lives. IoT is only expected to grow with 5G and beyond networks, which will primarily rely on software-defined networking (SDN) and network functions virtualization for achieving the promised quality of service. The prevalence of IoT and the large attack surface that it has created calls for SDN-based intelligent security solut...
An Efficient Fuzzy Path Selection Approach to Mitigate Selective Forwarding Attacks in Wireless Sensor Networks Sert, Seyyit Alper; Fung, Carol; George, Roy; Yazıcı, Adnan (2017-07-12) Wireless Sensor Networks (WSNs) facilitate efficient data gathering requirements occurring in indoor and outdoor environments. A great deal of WSNs operates by sensing the area-of-interest (AOI) and transmitting the obtained data to a sink/(s). The transmitted data is then utilized in decision making processes. In this regard, security of raw and relayed data is both crucial and susceptible to malicious attempts targeting the task of the network which occurs on the wireless transmission medium. A node, when...
An agent-based optimization framework for mobile-cloud computing Angın, Pelin (2013-01-01) The proliferation of cloud computing resources in the recent years offers a way for mobile devices with limited resources to achieve computationally intensive tasks in real-time. The mobile-cloud computing paradigm, which involves collaboration between mobile and cloud resources, is expected to become increasingly popular in mobile application development. Dynamic partitioning of applications between mobile and cloud platforms based on resource availability is crucial in achieving the best performance for a...
A visual programming framework for distributed Internet of Things centric complex event processing Gökalp, Mert Onuralp; Koçyiğit, Altan; Eren, Pekin Erhan (2019-03-01) Complex Event Processing (CEP) is a promising approach for real-time processing of big data streams originating from Internet of Things (IoT) devices. Even though scalability and flexibility are key issues for IoT applications, current studies are mostly based on centralized solutions and restrictive query languages. Moreover, development, deployment and operation of big-data applications require significant amount of technical expertise. Hence, a framework that provides a higher abstraction level programmi...

Citation Formats

B. Kızılkaya, “An energy efficient hierarchical approach using multimedia and scalar sensors for emergency services,” M.S. - Master of Science, Middle East Technical University, 2019.