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E-IoT: Context Oriented Mote Prioritization for Emergency IoT networks 2

E-IoT: Context Oriented Mote Prioritization for Emergency Io...

引用

2nd IEEE International conference on Wireless Communications, Signal processing and Networking (WiSPNET)

作者： Ambhati, Rakesh Kumar Kota, Venkata Krishna Chaudhari, Shashikant Y. Jain, Manoj Bharat Elect Ltd Cent Res Lab Bangalore Karnataka India

ISBN: (纸本)9781509044429

With the advent of plethora of wireless sensors (wearable devices, smart gadgets, baby monitors, RFID tags, etc.) becoming new normal in human life, IoT is at spurge of realization. Most of these sensors operate in severely congested Industrial Scientific and Medical (ISM 2.4 GHz) band or Universal National information and Infrastructure (UNII 5.6 GHz) all over the world. In Low-bandwidth, Low power and emergency (time critical) situations, most prioritized sensors need to transmit and receive on wireless channel first. In this paper a model is proposed for context-specific mote prioritization with respect to given emergency circumstance.

关键词： Peer-to-peer computing Wireless sensor networks Wireless communication Engines intelligent sensors conferences

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Scheduling of fog networks with optimized knapsack by symbiotic organisms search

Scheduling of fog networks with optimized knapsack by symbio...

引用

Open Innovations Association (FRUCT), conference of

作者： Dadmehr Rahbari Mohsen Nickray Department of Computer Engineering and Information Technology University of Qom Qom Iran

Internet of things as a concept uses wireless sensor networks that have limitations in power, storage, and delay when processing and sending data to the cloud. Fog computing as an extension of cloud services to the edge of the network reduces latency and traffic, so it is very useful in healthcare, wearables, intelligent transportation systems and smart cities. Scheduling is the NP-hard issues in fog computing. Edge devices due to proximity to sensors and clouds are capable of processing power and are beneficial for resource management algorithms. We present a knapsack-based scheduling optimized by symbiotic organisms search that is simulated in iFogsim as a standard simulator for fog computing. The results show improvements in the energy consumption by 18%, total network usage by 1.17%, execution cost by 15%, and sensor lifetime by 5% in our scheduling method are better than the FCFS (First Come First Served) and knapsack algorithms.

关键词： Cloud computing Organisms Scheduling sensors Edge computing Network topology

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Structural health monitoring system using WSN for bridges

Structural health monitoring system using WSN for bridges

引用

International conference on ent Computing and Control Systems (ICICCS)

作者： Pooja Krishnath Patil S.R. Patil Department of Electronics and Telecommunication Bharati Vidyapeeth's College of Engineering for Women Pune India

ISBN: (纸本)9781538639016

Nowadays, a natural disaster is happening mostly on the earth. For examples flood, earthquake etc. These types of disasters like flood, earthquake can cause loss of property damage or life, so the structural health monitoring system is best solution for these types of problems. Structural health monitoring system is used to measuring the key parameter of the structural and environmental conditions on a continuous base at real-time. Purpose of SHM are detect structure damage, safety, disaster mitigation etc. Wireless sensors to monitor physical or environmental condition like pressure, level of water, acceleration etc. For bridges and dams application, wireless sensor measures the acceleration, tilting angle of bridge pillar and water level. The wireless sensor network is used in industry, urban terrain tracking and civil structure monitoring, security and surveillance, smart buildings etc. The wireless sensor network is consisting of number of nodes and one or more base stations. The sensor nodes in a sensor network are capable of collecting bridge or dam information and communicate with other connected nodes in the network. It is also capable of performing some processing part. Wireless sensor nodes are consisting microcontroller, transceiver, power management unit (power source), and one or more sensors. For bridge application we have used accelerometer sensors and ultrasonic sensor. The main aim of this project is to minimize the structural damages and prevent the life and property.

关键词： Wireless sensor networks Monitoring Wireless communication Bridges intelligent sensors Androids

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Optimal Maximum Likelihood Estimates Fusion in Distributed Network of sensors 12

Optimal Maximum Likelihood Estimates Fusion in Distributed N...

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12th IEEE International conference on intelligent Computer Communication and processing (ICCP)

作者： Madan, Bharat Bein, Doina Old Dominion Univ Dept Modeling Simulat & Visualizat Engn Norfolk VA 23529 USA Calif State Univ Fullerton Dept Comp Sci Fullerton CA 92634 USA

ISBN: (纸本)9781509038985

A distributed network of sensors leverages its performance by aggregating information gathered by individual sensors through the process of sensor data fusion. Estimating parameters using a centralized scheme entails transporting data from multiple sensors to a centralized fusion center, leading to high network bandwidth consumption. Additionally, fusing raw sensor data from sensors with different sensing modalities may not be feasible. We propose an alternative approach in which each sensor first individually estimates the unknown parameters based solely on its own sensor data. Since sensors may not have a-priori knowledge of the probability distribution of the unknown parameters, each sensor independently computes its individual maximum likelihood estimates. Individual estimates along with their sufficient statistics are then communicated to the fusion center, which treats these estimates as observations to compute the optimum aggregated maximum likelihood estimates by maximizing the new likelihood function of these observations. The proposed technique offers two significant advantages: (i) Since each sensor computes its individual estimates based solely on its own sensed data, it is easily applicable to sensor networks having multi-modal sensors, and (ii) As compared to raw sensor data, communicating estimates and their sufficient statistics to the fusion center requires substantially less network bandwidth. Performance of the aggregated estimates is evaluated through simulations and by computing the Cramer-Rao lower bound.

关键词： sensor networks information fusion maximum likelihood estimation estimate fusion distributed estimation

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Body sensor networks for Human Activity Recognition 3

Body Sensor Networks for Human Activity Recognition

引用

3rd International conference on Signal processing and Integrated networks (SPIN)

作者： Chetty, Girija White, Matthew Univ Canberra Fac ESTeM Canberra ACT 2601 Australia Infin Imaging Grp Melbourne Vic Australia

ISBN: (纸本)9781467391979

Body sensor networks aim to capture the state of the user and its environment by utilizing from information heterogeneous sensors, and allow continuous monitoring of numerous physiological signals, where these sensors are attached to the subject's body. This can be immensely useful in activity recognition for identity verification, health and ageing and sport and exercise monitoring applications. In this paper, the application of body sensor networks for automatic and intelligent daily activity monitoring for elderly people, using wireless body sensors and smartphone inertial sensors has been reported. The scheme uses information theory-based feature ranking algorithms and classifiers based on random forests, ensemble learning and lazy learning. Extensive experiments using different publicly available datasets of human activity show that the proposed approach can assist in the development of intelligent and automatic real time human activity monitoring technology for eHealth application scenarios for elderly, disabled and people with special needs.

关键词： smart phone body sensor activity recognition machine learning assisted living

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An Area Coverage Control Protocol Based on Probabilistic Coverage for Wireless sensor networks 7

An Area Coverage Control Protocol Based on Probabilistic Cov...

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7th International conference on intelligent Control and information processing (ICICIP)

作者： Tian, Ying Yang, Xiaoqian Ou, Yang You, Guohong Bohai Univ Coll Engn Jinzhou 121000 Peoples R China Bohai Univ Coll Maritime Jinzhou 121000 Peoples R China

ISBN: (纸本)9781509021550

Coverage control in high dense wireless sensor network is an important way to make the network more efficient, which can schedule the sensors in active or sleeping state at the right time on the precondition of maintaining the network coverage. Aiming to make the best of redundant coverage of the high dense network, an area control protocol based on probabilistic coverage model is designed. To simplify the area coverage judgment, the area coverage problem is transformed into the several points coverage judgment, an area judging rule is presented base on the previous work. And then, using the promoted judging rule, a node self-schedule scheme is designed, which can turn the sensor into active state or sleep according to the information received from its active neighbors. Comparing with other coverage control protocol, our promoted protocol can maintain the network coverage quality and prolong the network lifetime more efficiently.

关键词： coverage control protocol area coverage probabilistic sensing model wireless sensor networks

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Resilient Communication, Object Classification and Data Fusion in Unmanned Aerial Systems

Resilient Communication, Object Classification and Data Fusi...

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International conference on Unmanned Aircraft Systems

作者： Jacob A. Allison Raymond Ptucha Sergey E. Lyshevski Department of Electrical and Microelectronic Engineering Rochester Institute of Technology Rochester NY USA Department of Computer Engineering Rochester Institute of Technology Rochester NY USA

This paper researches robust data fusion, descriptive reality and control solutions. Cognitive autonomy, vehicle-to-vehicle and vehicle-to-ground communication, as well as wireless hybrid mobile mesh networks are considered. In dynamic and contested environments, the nodes and autonomous swarms must transmit and assess states, evaluate shared data, adapt to dynamic countermeasures, reconfigure, and, ensure secure communication. Robust algorithms and protocols must accomplish data management, perform vulnerability analysis, support data trustworthiness assessment, support physical-virtual reality, and evaluate functionality. Reliability of information sources and communication should be guaranteed despite adversary electronic warfare and disruptive actions. We examine science and technology of communication and data management in distributed processing, control and autonomy applications typifying adversarial environments. Our results ensure sufficient throughput, low latency, robustness, connectivity and secure communication. Topics on target recognition, object classification and dynamic tracking are researched with experimental substantiations.

关键词： Silicon intelligent sensors Task analysis sensor fusion Kernel Electronic warfare

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intelligent Actor Mobility with Event Tracking in Wireless sensor and Actor networks 45

Intelligent Actor Mobility with Event Tracking in Wireless S...

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45th International conference on Parallel processing (ICPP)

作者： Awan, Amna W. Saqib, Nazar A. Khan, Muazzam A. Natl Univ Sci & Technol CEME Islamabad Pakistan

ISBN: (纸本)9781509028252

A wireless sensor and actor network (WSAN) refers to a heterogeneous network primarily composed of sensor and actor nodes. A sensor is the part of the wireless network to sense the event to be occurred in the network. While actor is the entity that performs the networking related functionalities like receiving, transmitting and processing the data. The idea of mobile actor is the new concept in the WSANs research, which helps to take the most efficient action and provides energy and time efficient data collection. Two intelligent models were introduced previously, the static mobility model which uses the cluster information of a sparsely connected networks and another is dynamic mobility model designed on the basis of statistical model for the fixed duration events. Therefore, transmission of event detection information to the actors is one of the major concerns of WSANs. So, the Coordination and Communication between the actors must be managed properly. This paper addresses the actor-actor coordination for the timely responses to the events reported by the sensors in sparsely connected network of WSAN. Furthermore, this paper provides an event tracking algorithm to target the maximum tracked events.

关键词： WSAN mobile actor mobility model sparsely connected networks static mobility model and dynamic mobility model event tracking and actor-actor coordination

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Performance Comparison of 2D and 3D Zigbee Wireless sensor networks

Performance Comparison of 2D and 3D Zigbee Wireless Sensor N...

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International conference on information and Communication Technology for Sustainable Development (ICT4SD)

作者： Thalore, Ranjana Khurana, Manju Jha, M. K. Mody Univ Sci & Technol Coll Engn & Technol Lakshmangarh Rajasthan India

ISBN: (纸本)9789811001352;9789811001338

Previous works on wireless sensor networks (WSNs) concentrate mainly on two-dimensional (2D) plane assuming that sensors in the network are deployed on ideal plane. In many real-life scenarios, it is required to deploy sensors in a three-dimensional (3D) plane. This paper evaluates the performance of IEEE 802.15.4, i.e., low-rate wireless personal area networks (LR-WPANs) in 2D and 3D terrains on the basis of QoS parameters like network lifetime, throughput, delay, and packets dropped. The results indicate that 3D scenarios are more appropriate for further processing in WSNs.

关键词： Wireless sensor networks (WSNs) IEEE 802.15.4 Two-dimensional (2D) Three-dimensional (3D)

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Hybrid Compression Techniques for Energy Efficient Wireless sensor networks 1

Hybrid Compression Techniques for Energy Efficient Wireless ...

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1st IEEE International conference on Power Electronics, intelligent Control, and Energy Systems (ICPEICES)

作者： Kumar, Avnish Singh, Brahmjit Natl Inst Technol Elect & Commun Engn Kurukshetra Haryana India

ISBN: (纸本)9781467385879

In today's Wireless sensor networks, energy efficiency is the key interest as these sensors are small in size and have no refillable battery. These sensors are deployed to accomplish various tasks e.g. to measure the environmental attributes such as temperature, humidity, pollution level of sea water;to monitor some ongoing activities such as surveillance, tracking of suspects;and etc. Also their batteries don't last very long since it requires continues transmission of data towards the user/customer/sink. Our main goal here is how to provide simple and effective approach to provide hybrid data compression (spatial and temporal both) in the wireless sensor network in order to improve energy efficiency of the network. WSNs are deployed in great amount over the detected environment and it has been observed that the data from neighboring sensors usually have large correlation so sometimes it is waste of energy for the transmission of this duplicate information from neighboring sensors rather we can exploit this spatial correlation to reduce the heavy burden of data in transmission. Besides it has been seen that on a particular sensor, their readings are also correlated for a limited duration so we can exploit this temporal correlation to reduce the amount of data. Our scheme is not suitable to real time data monitoring rather it is quite better for delay tolerant services as it requires a little time for processing of data before transmitting it to the sink. Neighboring correlated sensors forms a cluster and their data are collectively stored in two dimensional Matrix and afterwards, Compression techniques are applied in both domain (Space and Time). That's why it is termed as Hybrid Compression. After applying these compression methods the data are transmitted towards the sink. Our result shows that our proposed scheme gives satisfactory approximation of received data at the sink.

关键词： Wireless sensor Network Principal Component Analysis Auto Regressive Moving Average

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