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.

scholarly journals Performance of Static Iot Networks using RPL Objective Functions

2019 ◽  
Vol 8 (4) ◽  
pp. 8972-8977 ◽  
Keyword(s):  
Objective Function ◽  
Routing Protocol ◽  
Routing Algorithms ◽  
Transmission Protocol ◽  
Objective Functions ◽  
Lossy Networks ◽  
Hop Count ◽  
Efficient Data ◽  
Selection Of ◽  
Better Than

Internet of Things, abbreviated as IoT is a network used mainly for the communication where different devices are connected for the retrieval, examination and execution of the necessary task. One of IoT’s biggest challenge is that, they are resource-constrained. Hence, it is essential to use an efficient data transmission protocol for routing. An effective routing protocol for static IoT network is the Routing protocol for Low Power and Lossy Networks (RPL). It is essential to assess the effectiveness of the RPL with the selection of best objective function for different static model. In this paper, the performance of different routing algorithms is compared in connection with different static topologies. Hence, the objective function’s performance is compared for different topologies i.e., Butterfly, Ring and Umbrella topologies. We consider two objective functions: namely Minimum Rank with Hysteresis Objective Function (MRHOF) and Objective Function Zero (OF0). MRHOF considers Expected Transmission Count (ETX) as its metric and the metric considered under OF0 is hop count. It is observed that the objective function OF0 performs better than MRHOF for the metric of energy and successful receiving of data.

scholarly journals A Resource Oriented Route Selection Framework Using Contextual Information Based on Fuzzy Logic

Electronics ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 1023 ◽  
Author(s):  
Khadak Singh Bhandari ◽  
Gi Hwan Cho
Keyword(s):  
Fuzzy Logic ◽  
Objective Function ◽  
Smart City ◽  
Contextual Information ◽  
Network Dynamics ◽  
Residual Energy ◽  
Smart Devices ◽  
Route Selection ◽  
Network Simulator ◽  
Lossy Networks

Internet of Things (IoT) is expected to have a significant impact on city’s service provisioning and make a smart city more accessible and pragmatic since the deployment of heterogeneous smart devices in each infrastructure of cities is increasing. So far, the IPv6 routing protocol for low power and lossy networks (RPL) is considered to fit on IoT infrastructure for achieving the expected network requirements. While RPL meets the IoT network requirements quite well, there are some issues that need to be addressed, such as adaptability to network dynamics. This issue significantly limits the use of RPL in many smart city application scenarios, such as emergency alerts with high traffic flows. As part of a smart city vision, IoT applications are becoming more diverse, which requires context-awareness in routing protocols to support the behavior of the network. To address this issue, we design an objective function that performs the route selection based on fuzzy logic techniques while using contextual information from the application. For this, we present a new context-oriented objective function (COOF) that comprises both nodes as well as link metrics. Further, we suggest two new routing metrics, known as queue fluctuation index (QFI) and residual energy index (REI), which consider the status of queue utilization and remaining energy, respectively. The metrics used are designed to respond to the dynamic needs of the network. The proposed approach has been examined and evaluated in different scenarios when compared to other similar approach and default RPL objective functions. Simulation experiments are conducted in Cooja network simulator for Contiki OS. The evaluation results show that COOF can cope with network dynamics and IoT-based smart city application requirements.

scholarly journals RPL Routing Protocol Performance in Smart Grid Applications Based Wireless Sensors: Experimental and Simulated Analysis

Electronics ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 186 ◽  
Author(s):  
Shimaa Abdel Hakeem ◽  
Anar Hady ◽  
HyungWon Kim
Keyword(s):  
Smart Grid ◽  
Low Power ◽  
Routing Protocol ◽  
Wireless Sensors ◽  
Path Selection ◽  
High Density ◽  
Delivery Ratio ◽  
Smart Meter ◽  
Lossy Networks ◽  
Hop Count

The Advanced Metering Infrastructure (AMI) is one of the Smart Grid (SG) applications that used to upgrade the current power system by proposing a two-way communication system to connect the smart meter devices at homes with the electric control company. The design and deployment of an efficient routing protocol solution for AMI systems are considered to be a critical challenge due to the constrained resources of the smart meter nodes. IPv6 Routing Protocol for Low Power and Lossy Networks (RPL) was recently standardized by the IETF and originally designed to satisfy the routing requirements of lossy and low power networks like wireless sensors (WSN). We have two kinds of AMI applications, on one hand AMI based WSN and on the other hand AMI based PLC communication. In this paper, we proposed a real and simulated implementation of RPL behavior with proper modifications to support the AMI based WSN routing requirements. We evaluate RPL performance using 140 nodes from the wireless sensor testbed (IoT-LAB) and 1000 nodes using Cooja simulator measure RPL performance within medium and high-density networks. We adopted two routing metrics for path selection: First one is HOP Count (HC) and the second is Expected Transmission Unit (ETX) to evaluate RPL performance in terms of packet delivery ratio; network latency; control traffic overhead; and power consumption. Our results illustrate that routes with ETX calculations in low and medium network densities outperform routes using HC and the performance decreases as the network becomes dense. However, Cooja implementation results provides an average reasonable performance for AMI with high-density networks; still many RPL nodes suffering from high packet loss rates, network congestion and many retransmissions due to the selection of optimal paths with highly unreliable links.

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 Adaptive Broadcast Routing Protocol using Fuzzy Logic System for MANET

2019 ◽  
Vol 8 (4) ◽  
pp. 5474-5480
Keyword(s):  
Fuzzy Logic ◽  
Routing Protocol ◽  
Mobile Ad Hoc Network ◽  
Threshold Value ◽  
Residual Energy ◽  
Fuzzy Logic System ◽  
Link Quality ◽  
Delivery Ratio ◽  
Broadcast Routing ◽  
Logic System

In Mobile Ad Hoc Network (MANET), forwarding probability should consider neighbour density, link quality and residual energy of the forwarding nodes. Also, redundant broadcasting by checking the inter-arrival times should be considered. In this paper, we propose to design a adaptive broadcast routing protocol using Fuzzy logic system. In this protocol, a set of forwarding nodes are selected based on the residual energy, coverage probability and channel condition. The rebroadcasting or forwarding probability is adaptively adjusted based on the 1-hop neighbour density and relative mobility of neighbours using the fuzzy logic system. Then the selected forwarding nodes forward the route request packets with the probability given by forwarding probability. Before forwarding the packets, the number of redundant packets exceeding a threshold value, are removed by checking successful status of delivered packets. By simulation results, we show that ABRP minimizes the delay and forwarding ratio by increasing the packet delivery ratio and average residual energy.

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.

An Energy Balance Routing Protocol Based on AODV

2014 ◽  
Vol 926-930 ◽  
pp. 2442-2445
Author(s):  
Hong Pan ◽  
Yong Zhang
Keyword(s):  
Energy Balance ◽  
Routing Protocol ◽  
Average Energy ◽  
Threshold Value ◽  
Residual Energy ◽  
Node Failure ◽  
End To End Delay ◽  
Aodv Protocol ◽  
Simulation Results ◽  
Minimal Residual

The best is to read these instructions and follow the outline of this text. AODV protocol is usually used to establish path in MANET while not consider energy controlling, this will lead to some nodes become invalid quickly. This paper presents an routing protocol called EAODV base on AODV, it selects the path where the average energy is the maximal and the minimal residual energy of node is higher than the threshold value to transmit data, it also can prolong the network lifetime. the simulation results show that EAODV can efficiently reduce node failure rate and the average end-to-end delay.

scholarly journals A Scalable Context-Aware Objective Function (SCAOF) of Routing Protocol for Agricultural Low-Power and Lossy Networks (RPAL)

Sensors ◽  
2015 ◽  
Vol 15 (8) ◽  
pp. 19507-19540 ◽  
Author(s):  
Yibo Chen ◽  
Jean-Pierre Chanet ◽  
Kun-Mean Hou ◽  
Hongling Shi ◽  
Gil de Sousa
Keyword(s):  
Low Power ◽  
Objective Function ◽  
Routing Protocol ◽  
Context Aware ◽  
Lossy Networks

scholarly journals A Novel Approach for RPL Assessment Based on the Objective Function and Trickle Optimizations

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Hanane Lamaazi ◽  
Nabil Benamar
Keyword(s):  
Energy Consumption ◽  
Low Power ◽  
Objective Function ◽  
Routing Protocol ◽  
Convergence Time ◽  
Delivery Ratio ◽  
Lossy Networks ◽  
New Approach ◽  
Novel Approach ◽  
Main Components

The ROLL working group proposed the RPL (IPv6 routing protocol for low-power and lossy networks) to respond to the requirements of low-power and lossy networks (LLNs). In this paper, we propose a new approach to assess the RPL performances based on its main components, namely, the objective function (OF) and the trickle algorithm. To this end, we compare between the RPL-EC (RPL based combined ETX and energy consumption) and the RPL-FL (RPL based on the flexible trickle algorithm). This paper compares the two implementations to assess the weight of each proposed improvement against the standard RPL. The results show that RPL performances are greatly influenced by the change of both the objective function and trickle algorithm. RPL-FL provides best values in terms of overhead, packet delivery ratio (PDR), and energy consumption, while RPL-EC acts better with the convergence time and the network lifetime compared to the standard RPL.

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.

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