Response Time Optimization in Wireless Sensor Networks - A Systematical Case Study on On-board Rapid Transit Applications

by K M, Karthick Raghunath
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£48.76
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K M, Karthick Raghunath Response Time Optimization in Wireless Sensor Networks - A Systematical Case Study on On-board Rapid Transit Applications
K M, Karthick Raghunath - Response Time Optimization in Wireless Sensor Networks - A Systematical Case Study on On-board Rapid Transit Applications

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Delivery: between 2021-06-24 and 2021-06-28
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Description

In the current world, Rapid Transit Systems (RTS) are concerned to be one of the fast modes of transportation. The lack of prompt decision-making procedures and expensive on-board lifesaving applications fails to guarantee the safeness of the travelling community. Moreover, during emergency cases, internally wired safety setups of any RTS do not prevents drastic disaster and allows a negative impact on required reliable changes. As an alternative to other expensive technologies, the wireless sensor network (WSN) system provides fast communicative and compact applications to RTS. To reduce causalities, designing such a network application to RTS always poses challenging problems in terms of fault tolerance and time-bounded packet delivery. This book discusses the Integration of WSN and fuzzy-logic based unique scheme that optimizes the response time of critical events in on-board RTS lifesaving applications.

Contributors

Author:
K M, Karthick Raghunath

Further information

Biography Artist:
K M, Karthick Raghunath
Dr. Karthick Raghunath., K. M. has received his Ph.D. in Information and Communication Engineering from Anna University, Chennai. Currently, he is working as an Associate Professor and R & D Coordinator in the Department of Computer Science and Engineering in MRIET, Secunderabad. He is Editorial Board Member for various reputed journals.
Number of Pages:
160
Media Type:
Taschenbuch
Publisher:
LAP Lambert Academic Publishing

Master Data

Product Type:
Paperback book
GTIN:
09786203030068
DUIN:
GD1OKV9GJFP
£48.76
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