Paper Info
Title
Lpbr: Location Prediction Based Routing Protocol For Mobile Iot Systems
Abstract
Recent advances in the Internet of Things(IoT) had created unparalleled opportunities and new applications. Low power communication technologies for IoT are critical for this success of IoT applications. IoT communication scenarios include mobile nodes in many IoT applications. This paper reviews state of the art for communication mechanisms in low power mobile scenarios of IoT applications. Such mobile scenarios demand low power routing based on metrics like node movement directions, speeds and energy optimizations. This paper proposes node rank optimization function called LPBR, based on location predictions along with energy. This proposed mechanism is evaluated through simulation study and results are presented in the paper. The simulation study shows more than 10% improvement in performance in terms of throughput of the system.
Year
DOI
Venue
2018
10.1145/3231053.3231059
ICFNDS'18: PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON FUTURE NETWORKS AND DISTRIBUTED SYSTEMS
Keywords
Field
DocType
IoT, RPL, Location Prediction, Mobile IoT
Power routing,Computer science,Internet of Things,Computer network,Throughput,Location prediction,Routing protocol
Conference
Citations 
PageRank 
References 
1
0.35
10
Authors
1
Name
Order
Citations
PageRank
Hamza Aldabbas1112.97