An enhanced hybrid scheme to support IP-based smart object network /

Smart object networks are potentially huge scale both in terms of the number of devices involved and the number of data generated by each device. IPv6 is the protocol of choice for smart object networks due to its features and readiness in providing an open and standard based technology for the endl...

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Bibliographic Details
Main Author: Wan Fariza Wan Abdul Rahman (Author)
Format: Thesis
Language:English
Published: Kuala Lumpur : Kulliyyah of Engineering, International Islamic University Malaysia, 2021
Subjects:
Online Access:http://studentrepo.iium.edu.my/handle/123456789/11067
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040 |a UIAM  |b eng  |e rda 
050 4 |a TK5105.5 
100 0 |a Wan Fariza Wan Abdul Rahman  |9 10345  |e author 
245 1 2 |a An enhanced hybrid scheme to support IP-based smart object network /  |c by Wan Fariza Wan Abdul Rahman 
264 1 |a Kuala Lumpur :   |b Kulliyyah of Engineering, International Islamic University Malaysia,   |c 2021 
300 |a xxiv, 127 leaves :  |b colour illustrations ;  |c 30 cm. 
336 |2 rdacontent  |a text 
337 |2 rdamedia  |a unmediated 
337 |2 rdamedia  |a computer 
338 |2 rdacarrier  |a volume 
338 |2 rdacarrier  |a online resource 
347 |2 rdaft  |a text file  |b PDF 
500 |a Abstracts in English and Arabic. 
500 |a "A thesis submitted in fulfilment of the requirement for the degree of Doctor of Philosophy (Engineering)." --On title page. 
502 |a Thesis (Ph.D)--International Islamic University Malaysia, 2021. 
504 |a Includes bibliographical references (leaves 102-107). 
520 |a Smart object networks are potentially huge scale both in terms of the number of devices involved and the number of data generated by each device. IPv6 is the protocol of choice for smart object networks due to its features and readiness in providing an open and standard based technology for the endless number of applications. An IPv6 routing protocol for low-power and lossy networks (LLNs), known as RPL has been designed by Internet Engineering Task Force (IETF) for resource constrained smart objects. It is defined in RFC 6550 that RPL can support either Storing mode only or Non-Storing mode only. The main drawback of this idea is, a homogeneous Non-Storing mode RPL network will introduce a high level of communication overhead, and a homogeneous network of Storing mode RPL network will require too much memory resources. Frequent occurrence of loops in LLNs contributes to additional delay and memory consumption to buffer the packet. To address these problems, this thesis proposed an RPL enhancement scheme to support a hybrid mode RPL with consideration of loop-free repair. The implementation of loop-free local route repair in hybrid RPL can further reduce delay and memory constraint in handling loops while topology changes. In real-time applications such as smart health monitoring, the excessive delay is intolerable since it could affect the patient’s life. The evaluation techniques used in this thesis are simulation using Cooja Contiki simulator and mathematical analysis. The feasibility of the proposed RPL enhancement is verified experimentally by developing a few scenarios of non-hybrid RPL (pure Storing and pure Non-Storing) mode as well as hybrid mode RPL of various percentage of Storing and Non-Storing. The performance metrics measured are memory consumption (in term of routing entries), total end-to-end delay and total routing overhead. Based on the simulation results, the memory consumption reduction in hybrid network integrated with loop-free repair achieves 25.22% to 33.9% compared to the homogeneous ones. The proposed scheme contributes to a better performance in terms of packet delivery ratio (PDR) compared to homogeneous Storing and homogeneous Non-Storing network but with an increased delay cost. Significant decrement of the routing overhead cost compared to homogeneous Storing and homogeneous Non-Storing scheme without loop-free repair mechanism can also be seen. The impact is not so obvious in a small size network. However, as the network grows, an improvement of up to 33.9% is achieved. In addition to simulation approach, mathematical analysis has been considered to measure performance metrics such as memory consumption (in bytes), total end-to-end delay and route discovery routing overhead.  
650 0 |a Computer networks 
650 0 |a Internet of Things  |9 11307 
655 |a Theses, IIUM local 
690 |a Dissertations, Academic  |x Kulliyyah of Engineering  |z IIUM  |9 4824 
700 1 |a Aisha Hassan Abdalla Hashim  |e degree supervisor  |9 10346 
700 1 |a Md. Rafiqul Islam  |e degree supervisor  |9 10347 
710 2 |a International Islamic University Malaysia.  |b Kulliyyah of Engineering  |9 4827 
856 4 |u http://studentrepo.iium.edu.my/handle/123456789/11067 
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