Low Complexity Method for Parent Selection based on Rank Increase Enhancement in RPL routing protocol

2020 ◽  
Author(s):  
Mohammad Koosha ◽  
Mina Namdar ◽  
Emad Alizadeh
Keyword(s):  
Routing Protocol ◽  
Low Complexity ◽  
Parent Selection

scholarly journals Multi-constraints based RPL objective function with adaptive stability for high traffic IoT applications

2021 ◽  
Vol 22 (1) ◽  
pp. 407
Author(s):  
Abdelhadi Eloudrhiri Hassani ◽  
Aicha Sahel ◽  
Abdelmajid Badri ◽  
El Mourabit Ilham
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
Objective Function ◽  
Routing Protocol ◽  
Selection Procedure ◽  
Delivery Ratio ◽  
Hop Count ◽  
Parent Selection ◽  
Internet Of Things Technology

The internet of things technology is classified as a Low power and lossy network. These kinds of networks require a trustworthy routing protocol considered as the backbone for management and high quality of service achievements. IPv6 routing protocol for Low power and lossy network (RPL) was able to gain popularity compared to other routing protocols dedicated to IoT for its great flexibility through the objective function. Default objective functions implemented in the RPL core are based on a single metric. Consequently, the routing protocol can’t cope with different constraints and show congestion issues in high traffics. For that, we proposed in our paper multi-constraints-based objective function with adaptive stability (MCAS-OF), which uses novel strategies for Radio strength indicator, node energy consumption, hop count and a designed work-metric combination, new rank processing, and parent selection procedure. The network stability was also taken into account, since the multi constraints can lead to frequent parent changes, using an adaptive threshold. The proposal, evaluated under the COOJA emulator against standard-RPL and EC-OF, showed a packet delivery ratio improvement by 24% in high traffics, a decrease in the power consumption close to 44%, achieved less latency and DIO control messages, it also gives a good workload balancing by reducing the standard deviation of node’s power consumption.

scholarly journals Energy and Delay Aware Data Aggregation in Routing Protocol for Internet of Things

Sensors ◽  
2019 ◽  
Vol 19 (24) ◽  
pp. 5486 ◽  
Author(s):  
Sankar Sennan ◽  
Sathiyabhama Balasubramaniyam ◽  
Ashish Kr. Luhach ◽  
Somula Ramasubbareddy ◽  
Naveen Chilamkurti ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Routing Protocol ◽  
Data Aggregation ◽  
Original Data ◽  
Delivery Ratio ◽  
Data Traffic ◽  
Routing Metric ◽  
Lossy Networks ◽  
Aggregated Data ◽  
Parent Selection

Energy conservation is one of the most critical problems in Internet of Things (IoT). It can be achieved in several ways, one of which is to select the optimal route for data transfer. IPv6 Routing Protocol for Low Power and Lossy Networks (RPL) is a standardized routing protocol for IoT. The RPL changes its path frequently while transmitting the data from source to the destination, due to high data traffic in dense networks. Hence, it creates data traffic across the nodes in the networks. To solve this issue, we propose Energy and Delay Aware Data aggregation in Routing Protocol (EDADA-RPL) for IoT. It has two processes, namely parent selection and data aggregation. The process of parent selection uses routing metric residual energy (RER) to choose the best possible parent for data transmission. The data aggregation process uses the compressed sensing (CS) theory in the parent node to combine data packets from the child nodes. Finally, the aggregated data transmits from a downward parent to the sink. The sink node collects all the aggregated data and it performs the reconstruction operation to get the original data of the participant node. The simulation is carried out using the Contiki COOJA simulator. EDADA-RPL’s performance is compared to RPL and LA-RPL. The EDADA-RPL offers good performance in terms of network lifetime, delay, and packet delivery ratio.

scholarly journals Parent Selection for IPv6 Enabled Routing Protocol for Low Power Lossy Network

2019 ◽  
Vol 8 (2) ◽  
pp. 6418-6421
Keyword(s):  
Low Power ◽  
Routing Protocol ◽  
Task Force ◽  
Work Group ◽  
Vital Role ◽  
Delivery Ratio ◽  
Packet Size ◽  
Parent Selection ◽  
Selection For ◽  
Major Factors

RPL (IPV6 Routing Protocol for Low power lossy network) is a network layer routing protocol. It is considered as best routing protocol for Internet of Things (IoT). The packet size and techniques used in RPL are designed in such a way to support low powered devices. RPL was developed by Internet Engineering Task Force (IETF) work group and still it is in design phase. RPL construct a loop less tree to maintain all the nodes. The parent selection is the backbone of RPL protocol. In parent selection rank calculation play a vital role. In this paper an extensive survey is done about RPL. The various techniques used in RPL are studied in this paper. The performance of RPL protocol is examined using cooja simulator. The working of RPL tested using Contiki enabled sky motes under cooja environment. The heterogeneity of network density and mote type are the major factors considered to examine RPL in terms of Energy efficiency, Packet Delivery Ratio and Response time.

scholarly journals Multicriteria Parent Selection Using Cognitive Radio for RPL in Smart Grid Network

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Adisorn Kheaksong ◽  
Kanabadee Srisomboon ◽  
Akara Prayote ◽  
Wilaiporn Lee
Keyword(s):  
Cognitive Radio ◽  
Smart Grid ◽  
Routing Protocol ◽  
Residual Energy ◽  
Delivery Ratio ◽  
Smart Meter ◽  
Grid Data ◽  
Workload Balancing ◽  
Parent Selection ◽  
Advanced Metering

To maintain reliability of advanced metering infrastructure network in smart grid, data sent from a smart meter must reach a data concentrator unit efficiently. Parent selecting mechanism in routing protocol for low-power and lossy (RPL) is a key to maintain the reliability by balancing workload of meters in the network. In this paper, a parent selecting mechanism with three criteria including expected transmission count, residual energy, and expected transmission time is proposed to improve workload balancing and lifetime differences of all meters. A meter selects an immediate parent based on three factors. From simulation results, parents’ workload is better balanced and the lifetime of all meters in the network is depleted nearly at the same time. Moreover, a simulation with cognitive radio enabled meters, where data can be transmitted on a licensed channel opportunistically when the channel is not utilized, shows an improvement in the packet delivery ratio.

scholarly journals Optimizing RPL performance based on the selection of best route between child and root node using E-MHOF method

2021 ◽  
Vol 11 (1) ◽  
pp. 224
Author(s):  
Ahmed R. Zarzoor
Keyword(s):  
Objective Function ◽  
Routing Protocol ◽  
Threshold Value ◽  
Residual Energy ◽  
Path Selection ◽  
Lossy Networks ◽  
Root Node ◽  
Parent Selection ◽  
A New Technique ◽  
Two Parameters

IETF has proposed the routing protocol for low power and lossy networks (RPL) for IOT as view as light weight routing protocol. In RPL, the objective function (OF) is used to select the best route between child and root node. Several researches have been conducted in order to, enhance OF according to number parameters such as number of hops, remaining energy and expected number of transmissions (ETX), without a consideration to other challenges such as congestion node problem and latency. So, to overcome these challenges a new technique called “Enhance-Minimum Rank with Hysteresis Objective Function (MHOF)” is proposed in this paper, to select the ideal path between the child and root node. The technique is consisted of three layers: parent selection layer in which parent is selected based on three parameters (ETX, RSSI and nodes’ residual energy), path selection layer in which the best route is chosen according to the minimum of (average ETX value) and maximum of (average remaining energy value) of all nodes in the selected route. The last layer is child node minimization, which utilized to solve the congestion node energy problem by using two parameters (RSSI reference and threshold value). The proposed method has been implemented and evaluated by using Cooja simulator software. The simulation results have shown that selected path with E-MHOF is increased the network lifetime and reduced latency in comparison with MHOF.

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