Parent-Node Selection for Load Balancing in Low-Power and Lossy Networks (Bachelor thesis)
Chenyang, Ji
Low Power and Lossy Networks (LLNs) have a crucial role in the Internet of
Things (IoT) paradigm. For the IPv6 Routing Protocol for LLNs (RPL), two Objective
Functions (OFs) have been standardized, the ObjectiveFunction zero (OF0) and the
Minimum Rank with Hysteresis Objective Function (MRHOF). However, these
objective functions are used to build a topology where bottleneck nodes may suffer
from an excessive unbalanced traffic load. This problem is called load distribution
problem and as a result, the overload nodes will drain much faster than other nodes.
In this thesis, we propose a new objective function called Traffic Aware Objective
Function (TAOF) that balances the traffic load each node processes to ensure node
lifetime maximization. To implement our proposal, we have altered the DIO message
format and introduced a new RPL metric named traffic rate which measures the
traffic load. Simulation experiments have been conducted to examine the
performance of our proposal. We have evaluated its performance by comparing the
achieved packet delivery ratio, the number of sent DODAG Information Object (DIO)
control messages and the number of parent changes in comparison to other existing
OFs
Institution and School/Department of submitter: | Σχολή Τεχνολογικών Εφαρμογών / Τμήμα Μηχανικών Πληροφορικής |
Keywords: | Parent-Node Selection;Networks;Low-Power Networks;RPL;Terminology |
Description: | Πτυχιακή εργασία--ΣΤΕΦ- Τμήμα Μηχανικών Πληροφορικής, 2018--9975 |
URI: | http://195.251.240.227/jspui/handle/123456789/11454 |
Appears in Collections: | Πτυχιακές Εργασίες |
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