3 research outputs found

    Enhancing IoT performance via using Mobility Aware for dynamic RPL routing protocol technique (MA-RPL)

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    Nodes\u27 aware-mobility in the Internet of Things (IoTs) stills open defy for researchers, due to the dynamic changing of routing path and networks’ resource limitations. Therefore, in this study a new method is proposed called Mobility Aware - “Routing Protocol for Low power and Lossy Networks” (MA-RPL), that consists of two phases: in the first phase splitting the entire network into sub areas based on reference nodes with “Time Difference of Arrival” (TDoA) technique. While, the second phase, is about managing mobile nodes (MNs) in RPL according to the sub areas\u27 ID. The Cooja simulator software has been used to implement and assess MA-RPL method performance, according to the data packet metrics (lost packet, packet delivery ratio PDR), latency and nodes\u27 power usage in comparison with two methods: Corona (Co-RPL) and Mobility Enhanced (ME-RPL). The simulation results have been shown that the MA-RPL method consumes less nodes\u27 energy usage, gives less latency with minimum data packet loss in comparison with Co-RPL and ME-RP

    Exploiting Node Mobility for Fault Management in RPL-based Wireless Sensor Networks

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    Exploiting node mobility for fault management in RPL-based wireless sensor networks

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