Neighbour-disjoint multipath for low-power and lossy networks

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Hossein, A. K. M. Mahtab
Sreenan, Cormac J.
De Paz Alberola, Rodolfo
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Association for Computing Machinery (ACM)
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In this article, we describe a neighbour disjoint multipath (NDM) scheme that is shown to be more resilient amidst node or link failures compared to the two well-known node disjoint and edge disjoint multipath techniques. A centralised NDM was first conceptualised in our initial published work utilising the spatial diversity among multiple paths to ensure robustness against localised poor channel quality or node failures. Here, we further introduce a distributed version of our NDM algorithm adapting to the low-power and lossy network (LLN) characteristics. We implement our distributed NDM algorithm in Contiki OS on top of LOADng—a lightweight On-demand Ad hoc Distance Vector Routing protocol. We compare this implementation's performance with a standard IPv6 Routing Protocol for Low power and Lossy Networks (RPL), and also with basic LOADng, running in the Cooja simulator. Standard performance metrics such as packet delivery ratio, end-to-end latency, overhead and average routing table size are identified for the comparison. The results and observations are provided considering a few different application traffic patterns, which serve to quantify the improvements in robustness arising from NDM. The results are confirmed by experiments using a public sensor network testbed with over 100 nodes.
Networks , Network algorithms , Routing protocols , Computer systems organization , Sensor networks , Redundancy , Neighbour disjoint multipath (NDM) , Wireless sensor networks , Node-disjoint multipath , Edge-disjoint multipath , LOADng , RPL
Hossain, A. K. M. M., Sreenan, C. J. and Alberola, R. D. P. (2016) 'Neighbour-Disjoint Multipath for Low-Power and Lossy Networks', ACM Transactions on Sensor Networks , 12(3), 23 (25pp). doi: 10.1145/2914792
© ACM, 2016. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Transactions on Sensor Networks (TOSN), Volume 12 Issue 3, August 2016