Sensors Energy & Performance Gain Using LIBP in Contiki with Cooja - Singh, Pawan;Mishra, Shambhavi
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It represents a sparing in the various protocols for gathering the information from the sensors and broadcast it via Internet of Things (IoT). A lightweight pathway collection model LIBP (Least Interference Beaconing Protocol) builds a spanning routing tree. The distance is minimum with spanning routing tree to the rooted nodes based upon the scatter information via sporadic beaconing process. The sparing result is being gathered by the sensor nodes through a LIBP where the parents are anticipated from a flow matching traffic records from nodes to sink in the network. The simulation is done on…mehr

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Produktbeschreibung
It represents a sparing in the various protocols for gathering the information from the sensors and broadcast it via Internet of Things (IoT). A lightweight pathway collection model LIBP (Least Interference Beaconing Protocol) builds a spanning routing tree. The distance is minimum with spanning routing tree to the rooted nodes based upon the scatter information via sporadic beaconing process. The sparing result is being gathered by the sensor nodes through a LIBP where the parents are anticipated from a flow matching traffic records from nodes to sink in the network. The simulation is done on the Contiki OS under a Cooja simulator. The LIBP outperforms the special version of RPL and in the term of power consumption, recovery, scalability and throughput in the CTP protocols.
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Autorenporträt
Dr. P. Singh (BE, MTech, PhD) is an Associate Professor at Amity School of Engineering & Technology, Lucknow. Research: Cloud Computing, Optimization, Security, Imaging. Mr. P. Singhal (BTech, MTech, Pursuing PhD) is an Assistant Professor at Sagar Institute of Research & Technology, Bhopal. Research: AI, IoT, Imaging, Security.