SenSpire OS is an operating system designed for wireless sensor networks that aims to be predictable, flexible, and efficient. It improves predictability through two-phase interrupt servicing and predictable thread synchronization. Flexibility is achieved through a hybrid programming model supporting both event-driven and multithreaded programming. Efficiency is retained by using stack sharing and modular design. The OS also includes a three-layer networking stack and an object-oriented programming language to enhance usability and programming. Evaluation results indicate SenSpire OS ensures predictable performance, provides a flexible programming model, and is efficient in resource utilization for wireless sensor networks.
Wireless Sensor Networks (WSNs) are used in many application fields, such as military,
healthcare, environment surveillance, etc. The WSN OS based on event-driven model doesn’t
support real-time and multi-task application types and the OSs based on thread-driven model
consume much energy because of frequent context switch. Due to the high-dense and largescale
deployment of sensor nodes, it is very difficult to collect sensor nodes to update their
software. Furthermore, the sensor nodes are vulnerable to security attacks because of the
characteristics of broadcast communication and unattended application. This paper presents a
task and resource self-adaptive embedded real-time microkernel, which proposes hybrid
programming model and offers a two-level scheduling strategy to support real-time multi-task
correspondingly. A communication scheme, which takes the “tuple” space and “IN/OUT”
primitives from “LINDA”, is proposed to support some collaborative and distributed tasks. In
addition, this kernel implements a run-time over-the-air updating mechanism and provides a
security policy to avoid the attacks and ensure the reliable operation of nodes. The performance
evaluation is proposed and the experiential results show this kernel is task-oriented and
resource-aware and can be used for the applications of event-driven and real-time multi-task.
Wireless Sensor Networks (WSNs) are used in many application fields, such as military,
healthcare, environment surveillance, etc. The WSN OS based on event-driven model doesn’t
support real-time and multi-task application types and the OSs based on thread-driven model
consume much energy because of frequent context switch. Due to the high-dense and largescale
deployment of sensor nodes, it is very difficult to collect sensor nodes to update their
software. Furthermore, the sensor nodes are vulnerable to security attacks because of the
characteristics of broadcast communication and unattended application. This paper presents a
task and resource self-adaptive embedded real-time microkernel, which proposes hybrid
programming model and offers a two-level scheduling strategy to support real-time multi-task
correspondingly. A communication scheme, which takes the “tuple” space and “IN/OUT”
primitives from “LINDA”, is proposed to support some collaborative and distributed tasks. In
addition, this kernel implements a run-time over-the-air updating mechanism and provides a
security policy to avoid the attacks and ensure the reliable operation of nodes. The performance
evaluation is proposed and the experiential results show this kernel is task-oriented and
resource-aware and can be used for the applications of event-driven and real-time multi-task.
Proactive Data Reporting of Wireless sensor Network using Wake Up Scheduling ...ijsrd.com
In Wireless Sensor Network (WSNs), gather the data by using mobile sinks has become popular. Reduce the number of messages which is used for sink location broadcasting, efficient energy data forwarding, become accustomed to unknown earthly changes are achieved by a protocol which is projected by a SinkTrail. The forecast of mobile sinks’ location are done by using logical coordinate system. When sensor nodes don’t have any data to send, at that time they switch to sleep mode to save the energy and to increase the network lifetime. And due to this reason there is a chance of the involvement of nodes that are in sleeping state between the path sources to the mobile sink which is selected by the SinkTrail protocol. Before become the fully functional and process the information, these sleeping nodes can drop the some information. Due to this reason, it is vital to wake-up the sleeping nodes on the path earlier than the sender can start transferring of sensed data. In this paper, on-demand wake-up scheduling algorithm is projected which is used to activates sleeping node on the path before data delivery. Here, in this work the multi-hop communication in WSN also considers. By incorporating wake-up scheduling algorithm to perk up the dependability and improve the performance of on-demand data forwarding extends the SinkTrail solution in our work. This projected algorithm improves the quality of service of the network by dishonesty of data or reducing the loss due to sleeping nodes. The efficiency and the effectiveness projected solution are proved by the evaluation results.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
Fast Communication-efficient Spectral Clustering Over Distributed DataJAYAPRAKASH JPINFOTECH
Fast Communication-efficient Spectral Clustering Over Distributed Data
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
Novel Perspectives in Construction of Recovery Oriented ComputingIJSRD
In this paper we present novel views in implementation of a recovery oriented computing system. We discuss the various factors considered while ROC system design and move on to present the existing technologies in this field. Based on this we propose a ROC system design which enhances the robustness of such a system. Finally we state the future directions which the researchers are currently working in this area.
A time efficient approach for detecting errors in big sensor data on cloudNexgen Technology
TO GET THIS PROJECT COMPLETE SOURCE CODE PLEASE CALL BEOLOW CONTACT DETAILS
MOBILE: 9791938249, 0413-2211159, WEB: WWW.NEXGENPROJECT.COM ,EMAIL:Praveen@nexgenproject.com
NEXGEN TECHNOLOGY provides total software solutions to its customers. Apsys works closely with the customers to identify their business processes for computerization and help them implement state-of-the-art solutions. By identifying and enhancing their processes through information technology solutions. NEXGEN TECHNOLOGY help it customers optimally use their resources.
Proactive Data Reporting of Wireless sensor Network using Wake Up Scheduling ...ijsrd.com
In Wireless Sensor Network (WSNs), gather the data by using mobile sinks has become popular. Reduce the number of messages which is used for sink location broadcasting, efficient energy data forwarding, become accustomed to unknown earthly changes are achieved by a protocol which is projected by a SinkTrail. The forecast of mobile sinks’ location are done by using logical coordinate system. When sensor nodes don’t have any data to send, at that time they switch to sleep mode to save the energy and to increase the network lifetime. And due to this reason there is a chance of the involvement of nodes that are in sleeping state between the path sources to the mobile sink which is selected by the SinkTrail protocol. Before become the fully functional and process the information, these sleeping nodes can drop the some information. Due to this reason, it is vital to wake-up the sleeping nodes on the path earlier than the sender can start transferring of sensed data. In this paper, on-demand wake-up scheduling algorithm is projected which is used to activates sleeping node on the path before data delivery. Here, in this work the multi-hop communication in WSN also considers. By incorporating wake-up scheduling algorithm to perk up the dependability and improve the performance of on-demand data forwarding extends the SinkTrail solution in our work. This projected algorithm improves the quality of service of the network by dishonesty of data or reducing the loss due to sleeping nodes. The efficiency and the effectiveness projected solution are proved by the evaluation results.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
Fast Communication-efficient Spectral Clustering Over Distributed DataJAYAPRAKASH JPINFOTECH
Fast Communication-efficient Spectral Clustering Over Distributed Data
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
Novel Perspectives in Construction of Recovery Oriented ComputingIJSRD
In this paper we present novel views in implementation of a recovery oriented computing system. We discuss the various factors considered while ROC system design and move on to present the existing technologies in this field. Based on this we propose a ROC system design which enhances the robustness of such a system. Finally we state the future directions which the researchers are currently working in this area.
A time efficient approach for detecting errors in big sensor data on cloudNexgen Technology
TO GET THIS PROJECT COMPLETE SOURCE CODE PLEASE CALL BEOLOW CONTACT DETAILS
MOBILE: 9791938249, 0413-2211159, WEB: WWW.NEXGENPROJECT.COM ,EMAIL:Praveen@nexgenproject.com
NEXGEN TECHNOLOGY provides total software solutions to its customers. Apsys works closely with the customers to identify their business processes for computerization and help them implement state-of-the-art solutions. By identifying and enhancing their processes through information technology solutions. NEXGEN TECHNOLOGY help it customers optimally use their resources.
Project Careable - Contextual Experience Design Aparna Das
What is all the fuss about Internet of things? How we create interactive experiences that integrate screens, objects, and locations for a real-time personal contextual experience? Project Careable is an attempt at Contextual Experience Design (CED) and narrative storytelling. The project team comprised on Britt Olsen, Varsha Bhagel, Jahnavi Mirashi and myself.
Assisted Living facilities, florida offers excellence in senior living with care. A Banyan Residence Assisted Living facilities make home life, Eco friendly.
DESIGN ISSUES ON SOFTWARE ASPECTS AND SIMULATION TOOLS FOR WIRELESS SENSOR NE...IJNSA Journal
In this paper, various existing simulation environments for general purpose and specific purpose WSNs are discussed. The features of number of different sensor network simulators and operating systems are compared. We have presented an overview of the most commonly used operating systems that can be used in different approaches to address the common problems of WSNs. For different simulation environments there are different layer, components and protocols implemented so that it is difficult to compare them. When same protocol is simulated using two different simulators still each protocol implementation differs, since their functionality is exactly not the same. Selection of simulator is purely based on the application, since each simulator has a varied range of performance depending on application.
JAVA 2013 IEEE NETWORKING PROJECT Harvesting aware energy management for time...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Harvesting aware energy management for time-critical wireless sensor networksIEEEFINALYEARPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
Wireless networks of microelectromechanical systems have
been envisioned since the 1990s, when early concepts such as
Smart Dust introduced the idea of computers equipped with
sensors and simple radio transceivers.
Significant Storage on Sensor Storage Space, Energy Consumption and Better Se...ijasuc
WSNs are characterized by limited resources in terms of communication, computation and energy supply.
A critical constraint on sensors networks is that sensor nodes employ batteries. A second constraint is that
sensors will be deployed unattended and in large numbers, so that it will be difficult to change or recharge
batteries in the sensors .The Energy Consumption in wireless sensor networks varies greatly based on the
protocols the sensors use and computations used to generate keys for communication among neighbor
nodes. Previous research on sensor network security mainly considers homogeneous sensor networks,
where all sensor nodes have the same capabilities. Research has shown that homogeneous ad hoc networks
have poor performance and scalability. The many-to-one traffic pattern dominates in sensor networks, and
hence a sensor may only communicate with a small portion of its neighbors. Key Management is a
fundamental security operation. Most existing key management schemes try to establish shared keys for all
pairs of neighbor sensors, no matter whether these nodes communicate with each other or not, and this
causes large overhead and more energy consumption and more storage requirement. In this paper, we
adopt a Hybrid Sensor Network (HSN) model for better performance and security. We propose a novel
routing-driven key establishment scheme, which only establishes shared keys for neighbor sensors that
communicate with each other. We utilize Elliptic Curve Cryptography in the design of an efficient key
Establishment scheme for sensor nodes. The performance evaluation and security analysis show that our
key Establishment scheme can provide better security with significant reductions on communication
overhead, storage space and energy consumption than other key Establishment schemes.
TASK & RESOURCE SELF-ADAPTIVE EMBEDDED REAL-TIME OPERATING SYSTEM MICROKERNEL...cscpconf
Wireless Sensor Networks (WSNs) are used in many application fields, such as military,
healthcare, environment surveillance, etc. The WSN OS based on event-driven model doesn’t
support real-time and multi-task application types and the OSs based on thread-driven model
consume much energy because of frequent context switch. Due to the high-dense and largescale
deployment of sensor nodes, it is very difficult to collect sensor nodes to update their
software. Furthermore, the sensor nodes are vulnerable to security attacks because of the
characteristics of broadcast communication and unattended application. This paper presents a
task and resource self-adaptive embedded real-time microkernel, which proposes hybrid
programming model and offers a two-level scheduling strategy to support real-time multi-task
correspondingly. A communication scheme, which takes the “tuple” space and “IN/OUT”
primitives from “LINDA”, is proposed to support some collaborative and distributed tasks. In
addition, this kernel implements a run-time over-the-air updating mechanism and provides a
security policy to avoid the attacks and ensure the reliable operation of nodes. The performance
evaluation is proposed and the experiential results show this kernel is task-oriented and
resource-aware and can be used for the applications of event-driven and real-time multi-task.
Analysis and Implementation Wireless Sensor Network of Information Technology...IJERDJOURNAL
ABSTRACT:- This paper, we propose a smart home system based on two approaches. The first approach is topologi architecture mesh and the second is the protocol of Wireless Sensor Network (WSN) are efficient. This system has two working environment, indoor and outdoor. Indoor environment using WSN system, while the external environment usingsystem. internet-cloudThis scheme is known as the Internet-of-Things (IOT). Indoor and outdoor environments connected to each other by means of a connecting bridge. WSN system formed from the components of WSN that uses a mesh topology. Each component of the WSN designed for implementing efficient data protocols are proposed. For outdoor environments, system-cloud Internet that there is a major infrastructure. Thus, the smart home system can be monitored and controlled from a smartphone, anytime and anywhere, as long as access to mobile data is available. For the evaluation of the system, several tests have been done to get the system profile.
Resist Dictionary Attacks Using Password Based Protocols For Authenticated Ke...IJERA Editor
A parallel file system is a type of distributed file system that distributes file data across multiple servers and
provides for concurrent access by multiple tasks of a parallel application. In many to many communications or
multiple tasks, key establishments are a major problem in parallel file system. So we propose a variety of
authenticated key exchange protocols that are designed to address the above issue. In this paper, we also study
the password-based protocols for authenticated key exchange (AKE) to resist dictionary attacks. Password-based
protocols for authenticated key exchange (AKE) are designed to work to resist the use of passwords drawn from
a space so small that attacker might well specify, off line, all possible passwords. While many such protocols
have been suggested, the elemental theory has been lagging. We commence by interpreting a model for this
problem, to approach password guessing, forward secrecy, server compromise, and loss of session keys.
ACCELERATED DEEP LEARNING INFERENCE FROM CONSTRAINED EMBEDDED DEVICESIAEME Publication
Hardware looping is a feature of some processor instruction sets whose hardware can repeat the body of a loop automatically, rather than requiring software instructions which take up cycles (and therefore time) to do so. Loop Unrolling is a loop transformation technique that attempts to advance a program's execution speed to the detriment of its twofold size, which is a methodology known as space–time tradeoff. A convolutional neural network is created with simple loops, with hardware looping, with loop unrolling and with both hardware looping and loop unrolling, and a comparison is made to evaluate the effectiveness of hardware looping and loop unrolling. The hardware loops alone will add to a cycle check decline, while the mix of hardware loops and dot product instructions will decrease the clock cycle tally further. The CNN is simulated on Xilinx Vivado 2021.1 running on Zync-7000 FPGA.
Efficient Database Management System For Wireless Sensor Network Onyebuchi nosiri
An effective database management system has been put forward in this work to tackle the problem in remote monitoring using Wireless Sensor Network Object Oriented Analysis and Design method employed as classes was evolved to create objects in the employed program used. An algorithm was developed with a corresponding flowchart to realize the design, the work also came up with a dynamic graph plotter, as this offers an adaptive monitoring facility for data stored in the Database. Sensor Node query was implemented and result of transmitted data was filtered for a particular node
Key Management Schemes for Secure Communication in Heterogeneous Sensor NetworksIDES Editor
Hierarchical Sensor Network organization is
widely used to achieve energy efficiency in Wireless Sensor
Networks(WSN). To achieve security in hierarchical WSN,
it is important to be able to encrypt the messages sent
between sensor nodes and its cluster head. The key
management task is challenging due to resource constrained
nature of WSN. In this paper we are proposing two key
management schemes for hierarchical networks which
handles various events like node addition, node compromise
and key refresh at regular intervals. The Tree-Based
Scheme ensures in-network processing by maintaining some
additional intermediate keys. Whereas the CRT-Based
Scheme performs the key management with minimum
communication and storage at each node.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
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CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
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An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
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Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
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Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
1. SENSPIRE OS: A
PREDICTABLE, FLEXIBLE,
AND EFFICIENT
OPERATING SYSTEM FOR
WIRELESS SENSOR
NETWORKS
Israth Jahan Chowdhury (G1526226)
2. Outline
Introduction
Wireless Sensor Network
System Predictability
System Flexibility
System Efficiency
Networking Abstraction
Programming Language
Future Work
Conclusion
Reference
3. Introduction
The development of a modern sensor network is
difficult because of ---
The long-term unattended operation mode
Diverse application requirements
Inflexible resource constraints
To address these issues, presenting SenSpire OS, a
predictable, flexible, and efficient operating system
for wireless sensor networks.
4. Wireless Sensor Network
Spatially distributed autonomous sensors
to monitor physical or environmental conditions,
such as sound, temperature, pressure etc. and to
cooperatively pass their data through the network
to a main location.
5. Predictability, Flexibility &
Efficiency
Improving system predictability by two-phase interrupt
servicing and predictable thread synchronization;
Achieving system flexibility by providing a hybrid
model for both event-driven programming and
multithreaded programming;
Retaining system efficiency by employing stack sharing
and modular design.
Moreover, we have a three-layer networking stack and
an OOP language to enhance system usability and
programming convenience.
7. System Predictability
Two phase interrupt servicing
Top half
executes at interrupt time and meant to be short
enough to complete all necessary actions within the
time of the interrupt.
Bottom half
can be deferred to a more suitable time to complete
servicing of a prior interrupt & allows top halves to
preempt its execution by enabling interrupts.
8. System Predictability(contd.)
Predictable thread synchronization: adopts the
priority ceiling protocol to address this issue, which
works as follows:
Each thread has a static priority and a dynamic
priority.
Each shared resource has a static priority ceiling,
which is equal to the highest static priority of the
thread that uses it.
The dynamic priority is equal to the maximum of its
static priority and priority ceiling of the shared
resource it currently uses.
10. System Flexibility(Contd.)
Event handler task
Events are handled by the event-driven subsystem
and scheduled by Event Schedulers (ESs) which
are scheduled by the Kernel Scheduler (KS). Here,
the event-driven subsystem takes a higher priority
than the multithreaded subsystem because it is
more suitable for time-sensitive operations.
11. System Flexibility(Contd.)
Thread task
Threads are handled by the multithreaded
subsystem. The multithreaded subsystem consists
of multiple threads which are directly scheduled
by KS along with ESs.
13. System Efficiency
Stack Sharing
Reduces stack memory consumption in the
scheduler design in the following ways
All ESs can share a common stack because their
executions are non interleaved.
All ESs can share a common stack with one of the
threads(primary thread).
14. System Efficiency(Contd.)
Modular design
SenSpire OS supports dynamic loadable modules to
enable energy-efficient network reprogramming.
Uses an optimized module file format, SELF(smaller in
size), for dissemination.
The SELF loader is responsible for loading and executing a
new module.
SELF optimizes the file contents, and uses techniques of
chained reference and prelinking to system calls to
aggressively optimize the file size.
15. Networking Abstraction
A three-layer networking stack to facilitate
programming distributed sensor applications
based on SenSpire OS.
1. Radio layer
2. Unified resource layer
3. Sensornet layer
16. Programming Language
Developed a programming language, CSpire, for
application programming based on SenSpire OS.
CSpire partially supports object-oriented
programming while tightly integrates with the OS
kernel for compile-time verifications,
optimizations, and customizations.
17. Future Work
Would like to examine how SenSpire OS’s design
principles will enhance the performance of large-
scale complex WSN applications.
18. Conclusion
Results show that SenSpire OS
ensures predictable system performance,
provides a flexible hybrid model for application
programming and
efficient in resource utilization.
19. References
[1] I.F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci,
“Wireless Sensor Networks: A Survey,” Computer Networks, vol.
38, pp. 393-422, 2002.
[2] TinyOS, http://www.tinyos.net,
[3] A. Dunkels, B. Gro ¨nvall, and T. Voigt, “Contiki—A Lightweight
and Flexible Operating System for Tiny Networked Sensors,” Proc.
29th Ann. IEEE Int’l Conf. Local Computer Networks (LCN ’04),
2004.
[4] C.-C. Han, R. Kumar, R. Shea, E. Kohler, and M. Srivastava, “A
Dynamic Operating System for Sensor Nodes,” Proc. Third Int’l
Conf. Mobile Systems, Applications, and Services (MobiSys), 2005.
[5] S. Bhatti, J. Carlson, H. Dai, J. Deng, J. Rose, A. Sheth, B. Shucker,
C. Gruenwald, A. Torgerson, and R. Han, “MANTIS OS: An
Embedded Multithreaded Operating System for Wireless Micro
Sensor Platforms,” J. Mobile Networks and Applications, vol. 10, pp.
563-579, 2005.
