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Battery Lifetime Enhancement in Wireless sensor networks using Artificial Intelligence Techniques

Battery Lifetime Enhancement in Wireless Sensor Networks usi...

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Advances in computing, Communication control and networking (ICAC3N), international conference on

作者： S. Irfan K.S. Ramesh N. Swaroop Kumar A. Maheswary KIOT Wollo Universoty Kombolcha Ethiopia KLEF Vaddeswaram Guntur A.P India ECE Siddharth Institute of Science and Technology Puttur A.P ECE Sree Venkateswara College of Engineering and Technology Chittoor A.P

ISBN: (纸本)9781665438124

A Wireless sensor network (WSN) is a state of art technology for improving the lifetime of battery in conjunction with artificial intelligence techniques. A WSN is an intensive group of different miniature devices called sensor nodes, which help to monitor external or internal environmental conditions like luminosity and weather parameters such as pressure, sound, temperature, and humidity. These nodes are embedded with various devices like sensing components, computer-based input and output devices, radio transceivers and other power related components. These are inherently interconnected resource based constraints like limited storage capacity, communication bandwidth and limited processing speed. There is a need to adapt self-organizing nodes mechanism to match the application in order to minimize the intermediate nodes power consuming and longevity of the battery used in sensor network. These monitor dynamic paths change more often in over times, so sensor networks often adopt artificial intelligence techniques like neural networks to solve the need, such as to reduce the intermediate nodes power consuming and maximization of resource utilization sources and enhance the life period of the sensor network. This manuscript presents an absence of middle nodes inactive time, power consumption is minimized, therefore, the life time of battery to be maximized and better utilization of resources are possible.

关键词： Temperature sensors Temperature measurement Wireless communication Wireless sensor networks Simulation Neural networks Telecommunication traffic

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A Priority-Based Congestion control Algorithm for Wireless sensor networks

A Priority-Based Congestion Control Algorithm for Wireless S...

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international conference on Issues and Challenges in Intelligent computing Techniques (ICICT)

作者： Tshimangadzo M. Tshilongamulenzhe Topside E. Mathonsi DP DuPlessis Maredi I. Mphahlele Department of Information Technology Tshwane University of Technology Pretoria South Africa

Wireless sensor networks (WSNs) is an area that has generated an increasing interest currently worldwide. WSNs fall under IEEE 802.11 standard in which wireless network is formed by sensor nodes (SNs) that interconnect with each other through wireless links. SNs are capable of sensing, processing, and communicating via a wireless channel in a harsh environment, and most of them are battery powered. WSNs are mostly used for traffic communication in different environments such as irrigations, healthcare, home, and the military. WSNs are implemented to monitor temperature, humidity, pressure, among others within the network environment. The implementation of WSNs in various environment came with different challenges such as traffic congestion. The traffic congestion that occurs during packet transmission is normally occurs when there is buffer overflow. As a result, packet loss, packet delay, and network throughput impairment occurred during packet transmission within the network. This paper proposed a Priority-Based Congestion control (PBCC) algorithm in order to manage packet distribution to avoid the buffer overflow in WSNs while improving Quality of Service (QoS). The Particle Swarm Optimization Gravitational Search Algorithm (PSOGSA) and Weighted Priority based Fair Queue Gradient Rate control (WPFQGRC) were integrated in order to develop the proposed PBCC algorithm. network Simulator 2 (NS-2) was used to test the effectiveness of the proposed PBCC algorithm. The simulation results showed that the proposed PBCC algorithm reduced the packet loss by 29.4%, packet delay by 32.6%, and improved network throughput by 96.8% when compared with PSOGSA and WPFQGRC algorithms.

关键词： Temperature sensors Temperature measurement Wireless sensor networks Irrigation Simulation Packet loss Quality of service

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Dynamic clustering in wireless sensor network for target tracking based on the fisher information of modified Kalman filter

Dynamic clustering in wireless sensor network for target tra...

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international conference on Systems and Informatics (ICSAI)

作者： Feng Wang Xuemei Bai Bin Guo Chen Liu Changchun University of Science and Technology Changchun China

ISBN: (纸本)9781509055227

In order to reduce the whole network energy consumption of wireless sensor network and select the most suitable nodes to participate in target tracking, a dynamic clustering method is proposed using an improved Kalman filter which based on Fisher information matrix in target tracking. With the basis of using of information criteria as the selection criterion of nodes in target tracking, the node residual energy is joined as a selection criteria about voting cluster-head nodes and carrying on the dynamic clustering in this network. At the same time, it can describe the restructuring of dynamic cluster and switch of the cluster head. Cluster head receive the estimations of target from their cluster member nodes, then, it uses the modified Kalman filter (KF) based on Fisher information matrix for filtering in target tracking. Simulation of this method comparing with clustering controlling of activated radius and non-clustering information matrix filter, results show that the proposed method can effectively control the number of the trace nodes, at the same time, improving the tracking precision.

关键词： Target tracking Kalman filters Mathematical model Position measurement Wireless sensor networks Energy consumption

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Collaborative defense as a pervasive service architectural insights and validation methodologies of a trial deployment

Collaborative defense as a pervasive service architectural i...

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2009 5th international conference on Testbeds and Research Infrastructures for the Development of networks and Communities and Workshops, TridentCom 2009

作者： Schooler, Eve M. Livadas, Carl Kim, Joohwan Gandhi, Prashant Passera, Pablo R. Chandrashekar, Jaideep Orrin, Steve Koyabe, Martin El-Moussa, Fadi Daa Dabibi, Gogobada Corporate Technology Group Intel Corporation 2200 Mission College Boulevard Santa Clara CA 95054 United States Centre for Information Security and Systems Research British Telecommunications plc BT Innovate Orion Building Adastral Park Martlesham Heath Ipswich IP5 3RE United Kingdom

ISBN: (纸本)9781424428472

network defense is an elusive art. The arsenal to defend our devices from attack is constantly lagging behind the latest methods used by attackers to break into them and subsequently into our networks. To counteract this trend, we developed a distributed, scalable approach that harnesses the power of collaborative end-host detectors or sensors. Simulation results reveal order of magnitude improvements over stand-alone detectors in the accuracy of detection (fewer false alarms) and in the quality of detection (the ability to capture stealthy anomalies that would otherwise go undetected). Although these results arise out of a proof of concept in the arena of botnet detection in an Enterprise network, they have broader applicability to the area of network self-manageability of pervasive computing devices. To test the efficacy of these ideas further, Intel Corporation partnered with British Telecommunications plc to launch a trial deployment. In this paper, we report on results and insights gleaned from the development of a testbed infrastructure and phased experiments;(1) the design of a re-usable measurementinference architecture into which 3rd party sensor developers can integrate a wide variety of "anomaly detection" algorithms to derive the same correlation-related performance benefits;(2) the development of a series of validation methodologies necessitated by the lack of mature tools and approaches to attest to the security of distributed networked systems;(3) the critical role of learning and adaptation algorithms to calibrate a fullydistributed architecture of varied devices in varied contexts, and (4) the utility of large-scale data collections to assess what's normal behavior for Enterprise end-host background traffic as well as malware command-and-control protocols. Finally, we propose Collaborative Defense as a blueprint for emergent collaborative systems and its measurement-everywhere approach as the adaptive underpinnings needed for pervasive services.

关键词： Malware

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An IoT Wi-Fi Connected sensor For Real Time Heart Rate Variability Monitoring

An IoT Wi-Fi Connected Sensor For Real Time Heart Rate Varia...

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international conference on Circuits, Communication, control and computing

作者： Rama Reddy Rajanna Sriraam Natarajan Prabhu Ravikala Vittal Center for Medical Electronics and Computing Ramaiah Institute of Technology Bengaluru India

ISBN: (纸本)9781538684887

Heart rate variability (HRV) measurement is very much essential to determine the heart's health and it's functioning. The real-time HRV measurement helps physicians to assess the physiological state of a person or a patient. Several personal HRV monitoring devices have been developed and put to use in different ways. However, less has been explored, when it comes to leveraging the benefits of internet-of-things (IoT) and cloud technology for real-time HRV monitoring using wireless sensor networks. This work describes an implementation of an IoT cloud-based HRV monitoring application using a low-power embedded microcontroller interfaced to a Wi-Fi embedded network processor. An ECG analog frontend AD8232 was wired to a low-power microcontroller MSP430, and the micro-controller was interfaced to CC3100 Wi-Fi booster pack through a serial peripheral interface (SPI) for acquiring the wireless transmission capability. The microcontroller was programmed to acquire the data from the analog frontend by enabling the timer interrupt control. The ECG peak detection algorithm was implemented on the microcontroller to derive heart rate and inter-beat-interval (IBI) values. The real-time heart rate values were streamed to PubNub IoT web interface using TCP/IP stack on Wi-Fi booster. The data from PubNub channel was visualized using *** dashboard. The experimental results confirm the suitability of implemented wireless sensor node for real-time HRV monitoring and to implement multi-parameter healthcare monitoring IoT applications.

关键词： Monitoring Real-time systems Wireless sensor networks Wireless communication Heart rate variability Medical services Biomedical monitoring

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A localization algorithm reducing flip ambiguities for WSNs with measurement errors

A localization algorithm reducing flip ambiguities for WSNs ...

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international conference on Informative and Cybernetics for Computational Social Systems (ICCSS)

作者： Qingbei Guo Kun Zhang Tao Du Shouning Qu Shandong Provincial Key Laboratory of Network based Intelligent Computing University of Jinan Jinan Shandong China

ISBN: (纸本)9781509033683

Localization is one of the fundamental functions in wireless sensor networks, but it is easily affected by flip ambiguity in the presence of measurement errors. In this paper, a localization method is proposed to reduce an occurrence of flip ambiguity by analyzing the feature of the intersection corresponding to multiple constraints, and it is implemented on bilateration and trilateration. The model of unit disk graph is used to make up for the shortage of distance constraints for bilateration, and this model is estimated as a transmission range constraint. The intersection feature of the transmission range and distance constraints is analyzed to present a unique localization criterion. Similarly, the other unique localization criterion is proposed according to the feature of the intersection of three distance constraints for trilateration. Both criteria can be spread to localization between two clusters, and furthermore, they try to reduce an occurrence of flip ambiguity. Theoretical proof result shows these proposed two criteria are correct. Based on these two criteria, a localization algorithm is created with three phases. The experimental evaluation of algorithm is presented under the conditions of different scenarios and parameters, and this algorithm is shown to effectively increases the ratio of localized nodes and to decreases the occurrences of flip ambiguity.

关键词： measurement errors Robustness Wireless sensor networks Distance measurement Economic indicators Clustering algorithms measurement uncertainty

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Applications of Wireless sensor network in the Field of Medical and Healthcare

Applications of Wireless Sensor Network in the Field of Medi...

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2016 3rd international conference on Materials Engineering,Manufacturing Technology and control(ICMEMTC 2016)

作者： Chunmei Wang Tianyu Cao Tianlei Gao Zhaoyang Liu Shandong Provincial Key Laboratory of Computer Networks Shandong Computer Science Center (National Supercomputer Center in Jinan) School of Mathematical Sciences Dalian University of Technology

Wireless sensor network(WSN) is an emerging technology which integrated sensor technology, embedded computing technology, modern network, wireless communication technology, distributed information processing technology. This technology has wide applications. With the development of technology, WSN will be a great influence in many aspects of medical practice. This paper discusses the application of WSN in the medical field.

关键词： WSN System structure Medical application

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An Improved sensor Pattern Noise Estimation Method Based on Edge Guided Weighted Averaging 3rd

An Improved Sensor Pattern Noise Estimation Method Based on ...

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3rd international conference on Machine Learning for Cyber Security, ML4CS 2020

作者： Zhang, Wen-Na Liu, Yun-Xia Zhou, Jin Yang, Yang Law, Ngai-Fong School of Information Science and Engineering University of Jinan Jinan250022 China Shandong Provincial Key Laboratory of Network Based Intelligent Computing University of Jinan Jinan250022 China School of Information Science and Engineering Shandong University Qingdao266237 China Department of Electronic and Information Engineering The Hong Kong Polytechnic University Hong Kong

ISBN: (纸本)9783030624590

sensor Pattern Noise (SPN) has proven to be an effective fingerprint for source camera identification. However, its estimation accuracy is still greatly affected by image contents. In this work, considering the confidence difference in varying image regions, an image edge guided weighted averaging scheme for robust SPN estimation is proposed. Firstly, the edge and non-edge regions are estimated by a Laplacian operator-based detector, based on which different weights are assigned to. Then, the improved SPN estimation is obtained by weighted averaging of image residuals. Finally, an edge guided weighted normalized cross-correlation measurement is proposed as similarity metric in source camera identification (SCI) applications. The effectiveness of the proposed method is verified by SCI experiments conducted on six models from the Dresden data set. Comparison results on different denoising algorithms and varying patch sizes reveal that performance improvement is more prominent for small image patches, which is demanding in real forensic applications. © 2020, Springer Nature Switzerland AG.

关键词： Mathematical operators

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Variation of Received Signal Strength in Wireless sensor network

Variation of Received Signal Strength in Wireless Sensor Net...

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international conference on Advanced Computer control, ICACC

作者： Lisheng Xu Feifei Yang Yuqi Jiang Lei Zhang Cong Feng Nan Bao Key Laboratory of Medical Image Computing Ministry of Education Northeastern University Shenyang China Sino-Dutch School of Biomedical and Information Engineering Northeastern University Shenyang China

ISBN: (纸本)9781424488094

Semiconductor manufacturers provide low-cost, low-power and short-range solutions for the application of Wireless sensor network (WSN), such as ZigBee, Bluetooth, Wi-Fi etc. The quality of radio frequency signal, which carries information in wireless communication channel, is the key to WSN. But it is easily influenced by the external environment. Received Signal Strength Indicator (RSSI) is a measurement for the quality of radio frequency signal which is often used in field of space localization. This paper comprehensively analyses the characteristics of RSSI possibly influenced by the factors such as temperature, the height of sensor node's position, the type of antenna and the electromagnetic interference of human body. We found that the attenuation of Received Signal Strength (RSS) varies about 5.0 dBm with the change of temperature in every 10 centigrade. The ground can reduce the radiation area of wireless signal, so that RSS is dramatically influenced by the height of its position. Patch antenna causes the attenuation of RSS about 11.2 dBm larger than helix antenna in the distance of 25 m. If the sensor node is wore in human body, the posterior position leads to the attenuation of RSS about 13.0~16.2 dBm larger than anterior position in a specified distance range due to the electromagnetic interference of human body. Finally, some improvement devices were raised here for the WSN in the application of home healthcare according to the qualified effects of various environmental factors.

关键词： Antenna measurements Monitoring Receiving antennas Biomedical monitoring Wireless sensor networks

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Improving security in Wireless sensor network using trust and metaheuristic algorithms

Improving security in Wireless Sensor Network using trust an...

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international conference on Computer and Information Sciences (ICCOINS)

作者： S. Anbuchelian S. Lokesh Madhusudhanan Baskaran Ramanujan Computing Centre Anna University Chennai India Department of Computer Science Er. Perumal Manimekalai College of Engineering India

Wireless sensor network (WSN) through sensor nodes co-operation collect and send messages about a monitored environment to a sink. Structural health monitoring is an active area of research where structural integrity of civil structures is continuously monitored using wireless sensors. WSN's wide spread applications in various areas has opened the doors to vulnerabilities/security pitfalls. Security is of paramount concern for sensor network applications but implementation of cryptography / encryption techniques will increase the control overheads and also uses additional energy which is scarce. An emerging area of research to improve security is the implementation of trust mechanism which to a certain extent mitigates the pitfalls of regular security mechanism. Trust is important in wireless networks as collaboration/cooperation among nodes is critical to achieving system goals like routing reliability which is NP Hard. In this work a trust based Cluster Head selection mechanism using Firefly based metaheuristic is proposed to improve the security and network lifetime of the WSN. Firefly Algorithm (FA) is used as it handles combinational and numerical optimization multimodal problems efficiently. The proposed algorithm was evaluated using Mica testbed using 23 nodes and was also extensively simulated using MATLAB for large number of nodes to check the effectiveness of the proposed technique. Simulation results demonstrate the effectiveness of the proposed method for large number of nodes and the physical experimental setup shows performance improvement over LEACH.

关键词： Wireless sensor networks Monitoring Security Clustering algorithms Linear programming Wireless communication Algorithm design and analysis

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