Title: A probabilistic epidemic forwarding method for resource-constrained heterogeneous delay tolerant internet of things
Authors: Shiva Karimi; Yousef Darmani
Addresses: Faculty of Electrical Engineering, K.N. Toosi University of Technology, Tehran 1631714191, Iran ' Faculty of Electrical Engineering, K.N. Toosi University of Technology, Tehran 1631714191, Iran
Abstract: Internet of things (IoT) is defined by networks of physical objects called smart things able to sense the environment, compute the results and communicate among themselves. IoT development needs to overcome many challenges regarding its constraints. Using IoT devices in delay tolerant networks (DTNs) scheme seems to be a solution to overcome its resource constraints and intermittent connectivity. Limited available battery and buffer size in small objects motivates the researchers to find optimised DTN routing schemes. DTNs are wireless networks that do not often have an end to end path between the source and destination objects. Epidemic routing (ER) protocol is a simple way to perform routing in such networks which is not effective from the energy point of view. To solve this problem the probabilistic epidemic (p-epidemic) routing protocol for the heterogeneous sets of smart objects is suggested. The accuracy of this forwarding method is supported by simulation results.
Keywords: delay tolerant networks; DTN; energy consumption; heterogeneous network; probabilistic epidemic forwarding; transmission probability; internet of things; IoT.
International Journal of Network Science, 2019 Vol.1 No.4, pp.344 - 356
Received: 23 Sep 2018
Accepted: 18 Apr 2019
Published online: 11 Sep 2019 *