A framework for enhancing the performance of Internet of Things applications based on RFID and WSNs

Sobral, José V. V.; Rodrigues, Joel J. P. C.; Rabêlo, Ricardo A. L.; Filho, José C. Lima; Sousa, Natanael; Araujo, Harilton da S.; Filho, Raimir Holanda

doi:10.1016/j.jnca.2018.01.015

Cited by 27 publications

(16 citation statements)

References 50 publications

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“…Then, using the static node coordinates and the calculated distances, the F I G U R E 5 Mobile node in the coverage area of static nodes. mobile node coordinates ([x,y]) are estimated using the resolution of the system presented in (1).…”

Section: Trilaterationmentioning

confidence: 99%

A mobility solution for low power and lossy networks using the LOADng protocol

Gonçalves

Rabêlo

Rodrigues

et al. 2020

Trans Emerging Tel Tech

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Many devices on an Internet of Things (IoT) network have severe constraints on computing resources in terms of memory, processing, and power, which make these networks generally known as Low power and Lossy Networks (LLNs). Device mobility in these scenarios has several negative impacts on the network, particularly in terms of connectivity, as node movement affects the routes established by the routing protocol. The network performance is highly related to the adjacent routing protocol. The protocol considered as standard for IoT networks was designed for static networks, and it has a low reactivity in mobility scenarios, besides other limitations. Lightweight On-demand Ad hoc Distance-vector Routing-Next Generation (LOADng) is currently the primary reactive protocol for LLNs. Considering that mobility is a crucial feature for the future of IoT, this article proposes Extended Kalman Filter (EKF)-LOADng, a solution built from LOADng for LLNs in the mobility context. The solution aims to make the mobile nodes aware of its location, as well as to predict the nonlinear trajectory of these nodes through the EKF. The location obtained is used to improve the connectivity of the mobile nodes and to shorten paths while messages are exchanged on the network. EKF-LOADng was compared with the standard version and an enhanced version of the LOADng protocol in two different scenarios in the Contiki OS. Simulation results show the proposed solution is capable of locating mobile nodes with an average error of 1.46 m while maintaining connectivity to other nodes, as well as outperforms the compared proposals in some network metrics in terms of packet delivery ratio, latency, power consumption, and control bit overhead.

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Section: Trilaterationmentioning

confidence: 99%

A mobility solution for low power and lossy networks using the LOADng protocol

Gonçalves

Rabêlo

Rodrigues

et al. 2020

Trans Emerging Tel Tech

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show abstract

“…A framework for co-operating with routing protocols and providing QoS and energy efficiency for IoT networks was presented in [91]. Considering IoT scenarios that merge RFID and IEEE 802.15.4 devices, the proposed solution presents two mechanisms to improve the performance of both the routing protocol and the RFID tag-reading process.…”

Section: Enhanced Routing Solutions For Internet Of Things Networkmentioning

confidence: 99%

Routing Protocols for Low Power and Lossy Networks in Internet of Things Applications

Sobral

Rodrigues

Rabêlo

et al. 2019

Sensors

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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.

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“…Moreover, the RFID sensor tag can work on passive mode for long-term monitoring requirement [24]. A series of research on the integration of WSN and RFID technology has been carried out [25]- [27]. However, there is no relevant report on the integration of transmission line condition monitoring.…”

Section: Introductionmentioning

confidence: 99%

Low Delay Technology Research of Transmission Line Tower Monitoring Network Integrating WSN and RFID

et al. 2019

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The tower is a key component of the transmission line system and its stability and reliability is the guarantee for the safety of entire transmission line system. This paper proposes a transmission tower monitoring network integrating wireless sensor network (WSN) and radio frequency identification (RFID). Compared to current designs, the proposed monitoring network shows the advantages of low cost, fast fault locating, tracking and management of grid equipment, and long-time monitoring. Low delay design is critical for the proposed monitoring network. In order to achieve balance between transmission delay and network cost, this paper establishes the transmission delay model for sink node optimization. For the redundant data of RFID, this paper presents a novel data cleaning scheme specially for the transmission tower monitoring, which can effectively reduce the redundant data at the reader end. The simulation results show that the optimal group number is 10 according to the proposed delay model. INDEX TERMS Transmission line tower monitoring network, WSN, RFID, relay node optimization, redundant data processing. FANGMING DENG received the B.Sc. degree in microelectronics technology, the M.Sc. and Ph.D.

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A framework for enhancing the performance of Internet of Things applications based on RFID and WSNs

Cited by 27 publications

References 50 publications

A mobility solution for low power and lossy networks using the LOADng protocol

A mobility solution for low power and lossy networks using the LOADng protocol

Routing Protocols for Low Power and Lossy Networks in Internet of Things Applications

Low Delay Technology Research of Transmission Line Tower Monitoring Network Integrating WSN and RFID

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