Light-weight Routing Protocol in IoT-based Inter-Device Telecommunication Wireless Environment

Author(s):  
Hayoung Oh ◽  
Sangsoon Lim

<p><span lang="EN-US">The primary task for IoT-based hyper-connectivity communications lies in the development of direct communications technique among IoT devices in RPL (Routing Protocol for Low-Power and Lossy Networks) environment without the aid from infras such as access points, base stations etc. In a low-power and lossy wireless network, IoT devices and routers cannot keep the original path toward the destination since they have the limited memory, except for a limited number of the default router information.. Different from the previous light-weight routing protocols focusing on the reduction of the control messages, the proposed scheme provides the light-weight IPv6 address auto-configuration, IPv6 neighbor discovery and routing protocol in a IoT capable infra-less wireless networks with the bloom filer and enhanced rank concepts. And for the first time we evaluate our proposed scheme based on the modeling of various probability distributions in the IoT environments with the lossy wireless link. Specifically, the proposed enhanced RPL based light-weight routing protocol improves the robustness with the multi-paths locally established based on the enhanced rank concepts even though lossy wireless links are existed. We showed the improvements of the proposed scheme up to 40% than the RPL based protocol.</span></p>

Author(s):  
Hayoung Oh ◽  
Sangsoon Lim

<p><span lang="EN-US">The primary task for IoT-based hyper-connectivity communications lies in the development of direct communications technique among IoT devices in RPL (Routing Protocol for Low-Power and Lossy Networks) environment without the aid from infras such as access points, base stations etc. In a low-power and lossy wireless network, IoT devices and routers cannot keep the original path toward the destination since they have the limited memory, except for a limited number of the default router information.. Different from the previous light-weight routing protocols focusing on the reduction of the control messages, the proposed scheme provides the light-weight IPv6 address auto-configuration, IPv6 neighbor discovery and routing protocol in a IoT capable infra-less wireless networks with the bloom filer and enhanced rank concepts. And for the first time we evaluate our proposed scheme based on the modeling of various probability distributions in the IoT environments with the lossy wireless link. Specifically, the proposed enhanced RPL based light-weight routing protocol improves the robustness with the multi-paths locally established based on the enhanced rank concepts even though lossy wireless links are existed. We showed the improvements of the proposed scheme up to 40% than the RPL based protocol.</span></p>


Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 2144 ◽  
Author(s):  
José V. V. Sobral ◽  
Joel J. P. C. Rodrigues ◽  
Ricardo A. L. Rabêlo ◽  
Jalal Al-Muhtadi ◽  
Valery Korotaev

The emergence of the Internet of Things (IoT) and its applications has taken the attention of several researchers. In an effort to provide interoperability and IPv6 support for the IoT devices, the Internet Engineering Task Force (IETF) proposed the 6LoWPAN stack. However, the particularities and hardware limitations of networks associated with IoT devices lead to several challenges, mainly for routing protocols. On its stack proposal, IETF standardizes the RPL (IPv6 Routing Protocol for Low-Power and Lossy Networks) as the routing protocol for Low-power and Lossy Networks (LLNs). RPL is a tree-based proactive routing protocol that creates acyclic graphs among the nodes to allow data exchange. Although widely considered and used by current applications, different recent studies have shown its limitations and drawbacks. Among these, it is possible to highlight the weak support of mobility and P2P traffic, restrictions for multicast transmissions, and lousy adaption for dynamic throughput. Motivated by the presented issues, several new solutions have emerged during recent years. The approaches range from the consideration of different routing metrics to an entirely new solution inspired by other routing protocols. In this context, this work aims to present an extensive survey study about routing solutions for IoT/LLN, not limited to RPL enhancements. In the course of the paper, the routing requirements of LLNs, the initial protocols, and the most recent approaches are presented. The IoT routing enhancements are divided according to its main objectives and then studied individually to point out its most important strengths and weaknesses. Furthermore, as the main contribution, this study presents a comprehensive discussion about the considered approaches, identifying the still remaining open issues and suggesting future directions to be recognized by new proposals.


Author(s):  
David Airehrour ◽  
Jairo A. Gutierrez ◽  
Sayan Kumar Ray

This research addresses blackhole and selective forwarding routing attacks, which are fundamental security attacks on the routing of data in IoT networks. Most IoT devices today, from medical devices to connected vehicles and even smart buildings, have the capability of communicating wirelessly with one another. Although, consumers are progressively embracing the concept of connected devices, recent studies indicate that security is not high on the priority list of manufacturers especially in the way these IoT devices route and communicate data amongst themselves. Thus, it leaves the door wide open to attacks and compromises. In this study, a trust-based routing Protocol for Low-Power and Lossy Networks addressing blackhole and selective forwarding attacks is proposed. We show that our proposed protocol is not only secure from blackhole and selective forwarding attacks, but also does not impose undue overheads on network traffic.


Author(s):  
David Airehrour ◽  
Jairo A. Gutierrez ◽  
Sayan Kumar Ray

This research addresses blackhole and selective forwarding routing attacks, which are fundamental security attacks on the routing of data in IoT networks. Most IoT devices today, from medical devices to connected vehicles and even smart buildings, have the capability of communicating wirelessly with one another. Although, consumers are progressively embracing the concept of connected devices, recent studies indicate that security is not high on the priority list of manufacturers especially in the way these IoT devices route and communicate data amongst themselves. Thus, it leaves the door wide open to attacks and compromises. In this study, a trust-based routing Protocol for Low-Power and Lossy Networks addressing blackhole and selective forwarding attacks is proposed. We show that our proposed protocol is not only secure from blackhole and selective forwarding attacks, but also does not impose undue overheads on network traffic.


2017 ◽  
Vol 4 (6) ◽  
pp. 2172-2185 ◽  
Author(s):  
Xiyuan Liu ◽  
Zhengguo Sheng ◽  
Changchuan Yin ◽  
Falah Ali ◽  
Daniel Roggen

2021 ◽  
Author(s):  
Archana Bhat ◽  
Geetha V

Abstract IPv6 Routing Protocol for low power and lossy networks (RPL) is a standardized and default routing protocol for low power lossy networks. However, this is basically designed for sensor networks with scalar data and not optimised for the networks with multi-modal sensors. The data rate of each multi-modal sensor varies based on various applications. RPL suffers from packet drops and re-transmissions which results in packet loss and energy consumption in case of multi-modal data transmission. Hence, the routing strategy implemented in RPL needs better scheduling strategy at parent node for forwarding packets based on various parameters. In this paper, relevant Objective Functions for multi-modal sensor data communication is proposed based on various parameters identified and a weighted ranking based scheduling strategy is proposed for multi-modal data communication called R-RPL. The goal of proposed ranking based RPL (R-RPL) is to increase the throughput and reduce the loss in terms of energy and delay based on proposed scheduling strategy for parent selection. The performance of the proposed R-RPL is evaluated in the contiki based Cooja simulator and compared with RPL protocol. The analysis shows that the R-RPL performs better compared to RPL with respect to packet delivery ratio and energy consumption.


2020 ◽  
Vol 26 (11) ◽  
pp. 1366-1381
Author(s):  
Sathishkumar Natesan ◽  
Rajakumar Krishnan

The Routing Protocol for Low Power and Lossy Networks (RPL) is operated by gadgets comprised of many devices of embedded type with limited energy, memory as well as resources that do their process. The improvements in the life of the network and energy conservation are the key challenging features in Low Power and Lossy Networks (LLN). Obviously, the LLN has a key strategic part in routing. The Internet of Things (IoT) device is expected to make the apt choice. In LLN, the poor routing choice leads to traffic congestion, reduction in power as well as packet loss ratio. The task in the proposal analyzes Delay (D), Load (L) and Battery Discharge Index (BDI) pivoted Energy Efficient Composite Metric Routing (EECMR) protocol for LLN. The performance of the work in the proposal is evaluated by the COOJA simulator. It outperforms with respect to Network Lifetime (NL), Delay as well as Packet Delivery Ratio (PDR) contrasted to the routing metrics like Traffic Load (TL), Link Quality (LQ), Residual Energy (RE), RE-Battery Discharge Index (RE-BDI) and Hop Count (HC).


2021 ◽  
Author(s):  
Aryan Mohammadi Pasikhani ◽  
Andrew John Clark ◽  
Prosanta Gope

<p>The Routing Protocol for low power Lossy networks (RPL) is a critical operational component of low power wireless personal area networks using IPv6 (6LoWPANs). In this paper we propose a Reinforcement Learning (RL) based IDS to detect various attacks on RPL in 6LoWPANs, including several unaddressed by current research. The proposed scheme can also detect previously unseen attacks and the presence of mobile intruders. The scheme is well suited to the resource constrained environments of our target networks.</p><br>


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