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Optimizing Routing Protocol for Low power and Lossy Network (RPL) Objective Function for Mobile Low-Power Wireless Networks.
Mälardalens högskola, Akademin för innovation, design och teknik, Inbyggda system.
2016 (engelsk)Independent thesis Advanced level (degree of Master (Two Years)), 80 poäng / 120 hpOppgave
Abstract [en]

There is strong interest in Low-Power Wireless Networks (LPWNs) in various research areas since these devices are key enablers for future Internet of Things (IoT) applications. Mobility of nodes in LPWNs is one of the basic requirements of these applications. A mobile network should fulfil some requirements such as flexibility in terms of node deployment, scalability in terms of load balancing, compatibility with other network technologies and interference-aware to tackle signals generated in same frequency band with higher transmission power as LPWN devices that are working in the license-free Industrial-Scientific-Medical (ISM) radio frequency bands. The license-free ISM band is shared with other wireless networks such as WiFi and microware. In this Thesis, we focus on RPL routing, which is a standard IP-based routing protocol designed for IoT applications. This work combines several RPL parameters as input to a fuzzy logic system to develop and implement an optimized RPL objective function using some handoff mechanism in a mobile environment. Different weight combinations are applied in the input parameters in order to tune the system. We performed extensive simulation evaluations, and we found that the fuzzy-based hand-off approach is able to provide high reliability by delivering nearly 100% of data packets at the expenses of very short hand-off delay (125 ms).

sted, utgiver, år, opplag, sider
2016. , s. 47
HSV kategori
Identifikatorer
URN: urn:nbn:se:mdh:diva-33375OAI: oai:DiVA.org:mdh-33375DiVA, id: diva2:1034021
Presentation
2016-09-22, Kappa, Mälardalen Högskolan, Västerås, 14:15 (engelsk)
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Examiner
Tilgjengelig fra: 2016-10-13 Laget: 2016-10-11 Sist oppdatert: 2016-10-13bibliografisk kontrollert

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Master Thesis(689 kB)1728 nedlastinger
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