Title | An Analytical Approach to ETX Estimation in Linear-Topology in IoT |
Publication Type | Conference Paper |
Year of Publication | 2018 |
Authors | Sadeghi, Parham, Movahhedinia, Naser |
Conference Name | Proceedings of the International Conference on Smart Cities and Internet of Things |
Publisher | ACM |
Conference Location | New York, NY, USA |
ISBN Number | 978-1-4503-6532-1 |
Keywords | 6LoWPAN, communication system performance, composability, Internet of Things, IoT, linear multi-hop networks, modular analytical Model, pubcrawl, Resiliency |
Abstract | With ubiquitous connectivity no longer a dream, the need for efficient communications between smart objects in Internet of Things has become more demanding than ever before. In this context, efficient yet low cost modeling tools, capable of considering the impactful parameters are essential in provisioning such systems. ETX (Expected Transmission count), used in RPL (Routing Protocol for Low power lossy networks), turns to be one of the most widely used routing metrics, so it is considered by IETF for IPv6 routing in low-power wireless sensor networks and to infer many network layer characteristics like packet loss rate. As more and more wireless sensor networks being deployed with 6LoWPAN, having a model to easily obtain network parameters gains importance. This work aims to provide such a tool in the form of a modular analytic model for linear topology of 6LoWPANs which are mostly seen in monitoring systems of linear structures like pipeline, bridges and highways. The proposed model is evaluated in obtaining the ETX metric and packet loss rate in a typical IoT network. |
URL | http://doi.acm.org/10.1145/3269961.3269969 |
DOI | 10.1145/3269961.3269969 |
Citation Key | sadeghi_analytical_2018 |