Wireless sensor network

Secured Wireless Sensors Network Using Machine Learning approach Neha Meshram, Student, Department of computer Science and information Technology, Amravati University, Email: meshram.ne@gmail.com Abstract Machine learning inspires many practical solutions that maximize many resource utilization and prolong the lifespan of a network. As wireless sensors network (WSNs) monitor dynamic environment that rapidly changes over time such behavior is either caused by the

A Technical Seminar Report On WIRELESS INTEGRATED NETWORK SENSORS Submitted to the JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY, HYDERABAD In partial fulfillment of the requirement for the award of the degree of BACHELOR OF TECHNOLOGY In ELECTRONICS AND COMMUNICATION ENGINEERING By D.VINEETH KUMAR (09B91A0414) SCHOOL OF ENGINEERING & TECHNOLOGY GURU NANAK INSTITUTIONS-TECHNICAL CAMPUS (Affiliated to JNTU, Hyderabad) Ibrahimpatanam, RangaReddy District -501506 2012-2013 GURU

ABSTRACT Wireless sensor networks ensure a wide range of applications [1], starting fromsecurity surveillance in military and battlefields, monitoring previously unobservedenvironmental phenomena, smart homes and offices, improved healthcare, industrialdiagnosis, and many more.Main of the issues in wireless sensor network is coverage and communication problem which directly reflect on connectivity between different nodes. The coverage problem is determined to how well the sensing field is monitored

NOVEL APPROACH TO ENHANCE THE LIFETIME AND THROUGHPUT OF WIRELESS SENSOR NETWORK USING ACTOR NODES. 1Diksha Garg 1diksha.garg17@gmail.com 1Chandigarh Engineering College, Landran. 2Geetanjali Babbar 2cecm.cse.gbi@gmail.com 2Chandigarh Engineering College, Landran. ABSTRACT: Wireless sensor networks is a self-configured network means any node can join it or leave it at any time. it is a self-healing and self-organizing. Self-healing networks allow nodes to reconfigure their link associations and

PEGASIS for Wireless Sensor Networks Deepak Sethi1, Partha Pratim Bhattacharya2 1,2 Faculty of Engineering and Technology, Mody University of Science & Technology, Laxmangarh, Sikar Rajasthan, India- 332311 1deepaksethi@live.in 2hereispartha@gmail.com Abstract: In wireless sensor network, sensor nodes have limited power back-up. So, the main issue is to increase the network lifetime. The multi-chain concept in PEGASIS and sink mobility increases the network lifetime in wireless sensor network. In this

decision-making process. A new trust model and a reputation system for WSNs can be proposed. The trust model establishes the continuous version of the reputation system applied to binary events and presents a new trust and reputation system for sensor Networks. This approach for mixing of second hand information from neighboring nodes with directly observed information to calculate trust between nodes in WSNs. Trust metrics can be used to evaluate the trust value of each node in the clusters. Behaviors

computerize hundreds of electronic machines in a work area, the network or networking is the main priority. The Industrial wireless technologies and standards used by plants can improve plant efficiency, safety, security, and productivity. Wireless drastically changes the economics of the financial investments in the new technology with its lower implementation costs and total cost of ownership and rapid return on investment. Mainly the wireless networking is used to save cost of installation and the flexibility

Lifetime Maximization of Wireless Sensor Network using Load Balancing Ms. Radhika Sarad, Mr. Kiran Bhame, Mr. Vaibhav Wable, Mr. Amol Katake KJ College Of Engineering and Management Research Pune. Pune University. Abstract: The main problem in wireless sensor network is energy consumption. Because of energy consumption lifetime of wireless sensor network is decreased. In wireless sensor network, all sensor nodes generate data and send data to a single node called as sink (base station)

Abstract This paper evaluates the replacement of wires in a prototype body area network of wireless sensors. Sensor nodes which act as slave nodes are used to sense vital human parameters such as Electro Cardio Graphic (ECG), blood pressure, oxygen saturation-SpO2, heart rate, and body temperature [1]. Keeping the normal human body parameters as median values against the variations in the Lower and Higher levels towards the maximum abnormal conditions are tabulated for further analysis. A stochastic

the remaining data. In Wireless sensor networks (WSNs) outliers are the major issues that affect the inherent characteristics, such as flexibility, maintenance costs and scalability. The sources of an outliers include noise, errors, events and malicious attacks on the network. In this paper, we proposed a Compressive sensing algorithm (also known as compressive sensing, compressive sampling, or sparse sampling) to detect outliers images obtain from wireless sensors. The objective of this