My Account | Careers | Downloads | Blog

PROJECT TITLE :

End-to-End Reliability-Aware Scheduling for Wireless Sensor Networks - 2016

ABSTRACT:

Wireless sensor networks (WSNs) are gaining popularity as a flexible and economical alternative to field-bus installations for monitoring and management applications. For mission-essential applications, Communication networks should offer end-to-finish reliability guarantees, posing substantial challenges for WSN. Reliability will be improved by redundancy, and is often addressed on the MAC layer by resubmission of lost packets, sometimes applying slotted scheduling. Recently, researchers have proposed a method to optimally improve the reliability of a given schedule by repeating the foremost rewarding slots during a schedule incrementally till a deadline. This Incrementer can be used with most scheduling algorithms however has scalability issues which narrows its usability to offline calculations of schedules, for networks that are rather static. In this paper, we introduce SchedEx, a generic heuristic scheduling algorithm extension, which guarantees a user-defined finish-to-finish reliability. SchedEx produces competitive schedules to the present approach, and it will that consistently additional than an order of magnitude faster. The harsher the top-to-finish reliability demand of the network, the higher the SchedEx performs compared to the Incrementer. We any show that SchedEx includes a more evenly distributed improvement impact on the scheduling algorithms, whereas the Incrementer favors schedules created by bound scheduling algorithms.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

Wireless Sensor Networks Telecommunication Network Reliability Tdma Mission-Critical Industrialwireless Sensor Networks Reliable Packet Delivery
PROJECT TITLE : Traffic Signal Control Using End-to-End Off-Policy Deep Reinforcement Learning ABSTRACT: However, road intersections have historically been among the most significant traffic bottlenecks that have contributed
PROJECT TITLE : Towards End-to-End Text Spotting in Natural Scenes ABSTRACT: The ability to recognize text within images of natural scenes is critical for a wide variety of image understanding tasks. Text detection and recognition
PROJECT TITLE : HazDesNet An End-to-End Network for Haze Density Prediction ABSTRACT: Weather conditions ought to be taken into consideration by vision-based intelligent systems like those used for driver assistance and transportation.
PROJECT TITLE : End-to-End Automatic Morphological Classification of Intracranial Pressure Pulse Waveforms Using Deep Learning ABSTRACT: Objective. The mean intracranial pressure, also known as ICP, is a measurement that is frequently
PROJECT TITLE : End-to-End Automatic Morphological Classification of Intracranial Pressure Pulse Waveforms Using Deep Learning ABSTRACT: Objective. The mean intracranial pressure, also known as ICP, is a measurement that is

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry