Objective Function BF-ETX for RPL Routing Protocol

Sanmartin, Paul; Molinares, Daladier Jabba; Sierra, Randy; Martinez, Elker

doi:10.1109/tla.2018.8528246

Cited by 12 publications

(5 citation statements)

References 17 publications

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“…The authors used 80 nodes in their experiments, where OF0 was examined through including the counting hops and ETX utilized to determine the optimum routes. As a result, the ETX is outperformed the 0F0 because of the confluence of network time, enhanced traffic, and nodes consumption for power except that the high number of the retransmitted packet is considered as an obstacle [17]. A comparative study was presented in [18], ,which is primarily based on MRHOF and OF as OFs, where they conducted simulation relies on 30 nodes and was implemented using random among other topologies to measure the implemented OFs to show nodes energy consumption rate and also the PDR.…”

Section: Related Workmentioning

confidence: 99%

Performance of RPL in Healthcare Wireless Sensor Network

Al-Shargabi¹

2020

IJETER

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The new advances of the Internet of Things (IoT) technology can be utilized to promote service delivery in several real-life applications such as the healthcare systems. The Routing Protocol for Low Power and Loss Network (RPL) is a routing protocol designed to serve as a proper routing protocol for packets in Wireless Sensor Networks (WSN). Among the most prominent issues exist in the RPL protocol are packet loss within the WSN and sensors power consumption especially in healthcare WSNs. Multiple Objective Functions (OF) in RPL intended to find the routes from source nodes to a destination node. This paper presents an evaluation to discover which OF is more efficient for a WSN in a healthcare scenario where the Packet Delivery Ratio (PDR) of WSN and the sensors' power consumption are prominent concerns. Expected transmission Count (ETX) and Objective Function Zero (OF0) of RPL were examined in various network densities and network topologies such as the grid and random topology. The simulation outcomes revealed that the OF0 is more efficient regarding the PDR and power consumption compared to the ETX in random topology.

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Section: Related Workmentioning

confidence: 99%

Performance of RPL in Healthcare Wireless Sensor Network

Al-Shargabi¹

2020

IJETER

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“…The obtained sigma metric was utilised to select the optimal transmission link to deliver the data packet from the source node to the root node. The best friend-ETX (BF-ETX) objective function was introduced by Sanmartin et al [27] for the RPL protocol-based IoT network. Here, the BF-ETX metric was used to select the best parent node path to deliver the data packet to the root node.…”

Section: Related Workmentioning

confidence: 99%

“…The objective function must be changed based on the data packet required to transmit to attain better quality-of-service (QoS) in the network. Since the IoT network transmits both sensitive and non- The parameter considered for routing is very less thus increases the packet loss Sanmartin et al [27] BF-ETX The BF-ETX metric-based parent selection in RPL network NL is very less because of heavy load on parent nodes in the network Bahramlou et al [43] Adaptive timing model…”

Section: Problem Statementmentioning

confidence: 99%

DCRL‐RPL: Dual context‐based routing and load balancing in RPL for IoT networks

Kumar

Narayanan

2020

IET Communications

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“…To enable ranking and classifying deployments according to their performance, we develop an analytical scheme based on the levels proposed in Table 3; the proposed ranges of KI values are set according to recently reported results in the literature and common considerations of performance. 6,8,[14][15][16]22 The suggested ranges are for a performance scale of four levels, namely, Low, Somewhat Satisfactory, Satisfactory, and High. The proposed ranges are fine tuned to provide the ratio breakpoints of 0.4, 0.8, and 1.5 among the identified scale levels.…”

Section: Performancementioning

confidence: 99%

A mathematical framework for effective routing over low power and lossy networks

Damaj

Mardini

Mouftah

2020

Int J Communication

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Summary With the rapid advancement in the Internet of things, protocols are challenged to perform routing with low power over lossy networks (RPLs). Performance analysis of RPL attracted many researchers in the field. However, to the best of our knowledge, limited or no studies have been made to develop heterogeneous analytical models that aim at the classification and ranking of RPL deployments based on combinations of desired properties. In this paper, we develop an analytical framework that captures the effectiveness of RPL and enables its sound evaluation and classification. Performance metrics include power consumption, churn in, received packets, and duty cycle, to name but a few. The obtained results based on our analytical framework confirms its effectiveness compared to the simulation results obtained in the literature. The best performance is noted for the deployments with 50 m of range and for different number of nodes.

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Objective Function BF-ETX for RPL Routing Protocol

Cited by 12 publications

References 17 publications

Performance of RPL in Healthcare Wireless Sensor Network

Performance of RPL in Healthcare Wireless Sensor Network

DCRL‐RPL: Dual context‐based routing and load balancing in RPL for IoT networks

A mathematical framework for effective routing over low power and lossy networks

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