Abstract
Ubiquitous connectivity, irrespective of technology, is one of the main challenges that have to be conquered to make the things speak among themselves and to make a successful IoT (Internet of Things) framework. The problem of IoT, at present, lies in the intercommunication among devices having different kinds of connection interface. As a result, percolation of message is blocked even between two neighbors of same kind within close proximity because of the presence of large number of other devices having mismatched communication interface in the neighborhood. Hence, a seemingly connected network may become disconnected.
In this paper, effort has been made to overcome the communication bottleneck that may arise due to co-located sensing and/or actuating nodes with different network interfaces. To investigate the problem mathematically, the network is taken as a graph consisting of randomly deployed nodes of different interface types. Minimum Connected Dominating Set (MCDS) algorithm is used to find out the optimal positions of nodes where Special-Purpose-Multiple-Interface nodes (SPMIN) capable to communicate with different types of connection interfaces are to be placed. Extensive simulation of this arrangement has been done and is found to improve the path finding probability, packet-delivery-ratio and reliability in the network.
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Acknowledgements
The authors would like to thank to the Department of Science & Technology, Government of West Bengal (Memo No.-20(Sanc.)/ST/P/S&T/Misc-9/2014 dated 16/05/2017) for funding this research work.
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Banerjee, P.S., Mandal, S.N., Maiti, B. (2018). Determination of Connectivity Using Minimum Connected Dominating Set Based on the Measure of Eigen Centrality in a Heterogeneous IoT Network. In: Mandal, J., Sinha, D. (eds) Social Transformation – Digital Way. CSI 2018. Communications in Computer and Information Science, vol 836. Springer, Singapore. https://doi.org/10.1007/978-981-13-1343-1_20
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DOI: https://doi.org/10.1007/978-981-13-1343-1_20
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