A New Energy-Efficient Multipath Routing in Internet of Things Based on Gray Theory

Rogayye Khaleghnasab, Karamollah Bagherifard, Samad Nejatian, Hamid Parvin and Bahman Ravaei
Additional contact information
Rogayye Khaleghnasab: Department of Computer Engineering, Yasooj Branch, Islamic Azad University, Yasooj, Iran
Karamollah Bagherifard: Department of Computer Engineering, Yasooj Branch, Islamic Azad University, Yasooj, Iran2Young Researchers and Elite Club, Yasooj Branch, Islamic Azad University, Yasooj, Iran
Samad Nejatian: Young Researchers and Elite Club, Yasooj Branch, Islamic Azad University, Yasooj, Iran3Department of Electrical Engineering, Yasooj Branch, Islamic Azad University, Yasooj, Iran
Hamid Parvin: Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam5Faculty of Information Technology, Duy Tan University, Da Nang 550000, Vietnam6Department of Computer Science, Nourabad Mamasani Branch, Islamic Azad University, Mamasani, Iran
Bahman Ravaei: Department of Computer Engineering, Yasouj University, Yasouj, Iran

International Journal of Information Technology & Decision Making (IJITDM), 2020, vol. 19, issue 06, 1581-1617

Abstract: Internet of Things (IoT) is a network of smart things. It indicates the ability that the mentioned physical things transfer information with each other. The characteristics of these networks, such as topology dynamicity and energy constraint, make the routing problem a challenging task in these networks. Traditional routing methods could not achieve the required performance in these networks. Therefore, developers of these networks have to consider specific routing methods in order to satisfy their requirements. One of the routing methods is utilization of the multipath protocols in which data are sent to its destination using multiple routes with separate links. One of such protocols is AOMDV routing protocol. In this paper, AOMDV is improved using gray system theory which chooses the best paths used for separate routes to send packets. To do this, Ad hoc On-demand Multipath Distance Vector (AOMDV) packet format is altered and some fields are added to it so that energy criteria, link expiration time, and signal-to-noise ratio can also be considered during selection of the best route. The proposed method named RMPGST-IoT is introduced which chooses the routes with highest rank for concurrent transmission of data, using a specific method based on the gray system theory. In order to evaluate the results, the proposed Routing Multipath based on Gray System Theory (RMPGST)-IoT method is compared to the Emergency Response IoT based on Global Information Decision (ERGID) and Ad hoc Delay-aware Distributed Routing Model (ADRM)-IoT approaches in terms of throughput, packet receiving rate, packet loss rate, average remaining energy, and network lifetime. The results demonstrate that the performance of the proposed RMPGST-IoT is superior to that of ERGID and ADRM-IoT approaches.

Keywords: Internet of Things; multipath routing; gray system theory; network stability; RMPGST-IoT (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219622020500388
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijitdm:v:19:y:2020:i:06:n:s0219622020500388

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219622020500388

Access Statistics for this article

International Journal of Information Technology & Decision Making (IJITDM) is currently edited by Yong Shi

More articles in International Journal of Information Technology & Decision Making (IJITDM) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().