Largely Scalable Wireless Network Formation Architectures for Internet of Things
As number of mobile devices increases with Internet of Things (IoT) capability and power consumption is important in multi hop communication, there is need of considering network formation architectures inIoT networks.In this work power levels of nodes, urgency of messages to be transmitted are not taken into consideration, a general approach considered with all nodes with same power levels and no priority for messages to be sent.Another assumption is all nodes are on the same 2D plane. Multi hop wireless network architectures studied and scalable, best performing architecture which is hypercubic network architecture is highlighted for IoT networks. Especially for large number of nodes needs to be considered hypercubic architecture performs much better than mesh, tree and ring kind of architectures in terms of dilation and number of connections. The simulation results are based on a simulator developed on C++ program. The results are showed that Hypercubic architecture with logarithmic dilation is much better than other network types. Cube Connected Cycles (CCC)based network architecture (which is derivative of Hypercube) can be preferred, especially when a constant degree is needed, in communication technologies such as Bluetooth. As a future work, a network architecture study can be made which takes energy levels and urgency of messages to be sent.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Copyright & License
All Research Plus Journals (RPJ) publish open access articles under the terms of the Creative Commons Attribution (CC BY-SA 4.0) https://creativecommons.org/licenses/by-sa/4.0/ License which permits use, distribution and reproduction in any medium, provided the original work is properly cited & ShareAlike terms followed.
Copyright on any research article in a journal published by a RPJ is retained by the author(s). Authors grant RPJ a license to publish the article and identify itself as the original publisher. Upon author(s) by giving permission to RPJ either via RPJ journal portal or other channel to publish their research work in RPJ agrees to all the terms and conditions of https://creativecommons.org/licenses/by-sa/4.0/ License and terms & condition set by RPJ.
3rd party copyright
It is the responsibility of author(s) to secure all necessary copyright permissions for the use of 3rd-party materials in their manuscript.
Research Plus Journals Open Access articles posted to repositories or websites are without warranty from RPJ of any kind, either express or implied, including, but not limited to, warranties of merchantability, fitness for a particular purpose, or non-infringement. To the fullest extent permitted by law RPJ disclaims all liability for any loss or damage arising out of, or in connection, with the use of or inability to use the content.