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.

A new representation for a robot grasping quality measure

Robotica ◽  
1995 ◽  
Vol 13 (3) ◽  
pp. 287-295 ◽  
Author(s):  
Venugopal K. Varma ◽  
Uri Tasch
Keyword(s):  
Objective Function ◽  
Material Properties ◽  
Graphical Representation ◽  
Contact Forces ◽  
Geometric Constraints ◽  
Objective Functions ◽  
Finger Force ◽  
Finger Forces ◽  
Robot Grasping ◽  
Selection Of

SummaryWhen an object is held by a multi-fingered hand, the values of the contact forces can be multivalued. An objective function, when used in conjunction with the frictional and geometric constraints of the grasp, can however, give a unique set of finger force values. The selection of the objective function in determining the finger forces is dependent on the type of grasp required, the material properties of the object, and the limitations of the röbot fingers. In this paper several optimization functions are studied and their merits highlighted. The paper introduces a graphical representation of the finger force values and the objective functions that enable one to select and compare various grasping configurations. The impending motion of the object at different torque and finger force values are determined by observing the normalized coefficient of friction plots.

scholarly journals Energy Efficient Composite Metric Based Routing Protocol for Internet of Things

2020 ◽  
Vol 26 (11) ◽  
pp. 1366-1381
Author(s):  
Sathishkumar Natesan ◽  
Rajakumar Krishnan
Keyword(s):  
Internet Of Things ◽  
Low Power ◽  
Routing Protocol ◽  
Energy Efficient ◽  
Link Quality ◽  
Traffic Load ◽  
Delivery Ratio ◽  
Lossy Networks ◽  
Hop Count ◽  
Battery Discharge

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).

An Energy Efficient Geocast Routing Protocol Based on a Defer-Time Control Function for Vehicular Ad-Hoc Network

2011 ◽  
Vol 467-469 ◽  
pp. 972-977
Author(s):  
Bon Yeh Lin ◽  
Chi Hua Chen ◽  
Chi Chun Lo
Keyword(s):  
Routing Protocol ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Control Function ◽  
High Mobility ◽  
Cost Effective ◽  
Routing Algorithms ◽  
Vehicular Ad Hoc Network ◽  
Hop Count ◽  
Time Control

The Vehicular Ad-hoc NETwork (VANET) requires a suitable routing protocol to accommodate its special characteristics (e.g., high mobility, short-lived links, and fast-changing topology). There are many routing algorithms which are developed for transmitting information more quickly and cost-effective. In this paper, we propose a routing protocol which relies on Defer-Time Control Function (DTCF) to reduce the hop count, the transmission delay, and the probability of collisions during transmission. We provide an extensive analysis of DTCFs and choose the power-law model for routing protocol optimization. The function can be adjusted dynamically according to the distribution of the neighboring nodes (vehicles) of each hop. We also propose a mechanism to prevent the selected next-hop leaves the transmission range.

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 A Game Theory Based Congestion Control Protocol for Wireless Personal Area Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Chuang Ma ◽  
Jang-Ping Sheu ◽  
Chao-Xiang Hsu
Keyword(s):  
Game Theory ◽  
Low Power ◽  
Routing Protocol ◽  
Packet Loss ◽  
Loss Rate ◽  
Personal Area Networks ◽  
Network Congestion ◽  
Wireless Personal Area Networks ◽  
Lossy Networks ◽  
Hop Count

In wireless sensor networks (WSNs), the presence of congestion increases the ratio of packet loss and energy consumption and reduces the network throughput. Particularly, this situation will be more complex in Internet of Things (IoT) environment, which is composed of thousands of heterogeneous nodes. RPL is an IPv6 routing protocol in low power and lossy networks standardized by IETF. However, the RPL can induce problems under network congestion, such as frequently parent changing and throughput degradation. In this paper, we address the congestion problem between parent nodes and child nodes in RPL-enabled networks, which typically consist of low power and resource constraint devices. To mitigate the effect of network congestion, we design a parent-change procedure by game theory strategy, by which the child nodes can change next hop neighbors toward the sink. Comparing to the ContikiRPL implementation, the simulation results show that our protocol can achieve more than two times improvement in throughput and reduce packet loss rate with less increasing of average hop count.

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 Selective Route Based on SNR with Cross-Layer Scheme in Wireless Ad Hoc Network

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Istikmal ◽  
Adit Kurniawan ◽  
Hendrawan
Keyword(s):  
Routing Protocol ◽  
Ad Hoc ◽  
Signal To Noise Ratio ◽  
Cross Layer ◽  
Hop Count ◽  
Routing Overhead ◽  
Fifth Generation ◽  
Distance Vector ◽  
Better Than

In this study, we developed network and throughput formulation models and proposed new method of the routing protocol algorithm with a cross-layer scheme based on signal-to-noise ratio (SNR). This method is an enhancement of routing protocol ad hoc on-demand distance vector (AODV). This proposed scheme uses selective route based on the SNR threshold in the reverse route mechanism. We developed AODV SNR-selective route (AODV SNR-SR) for a mechanism better than AODV SNR, that is, the routing protocol that used average or sum of path SNR, and also better than AODV which is hop-count-based. We also used selective reverse route based on SNR mechanism, replacing the earlier method to avoid routing overhead. The simulation results show that AODV SNR-SR outperforms AODV SNR and AODV in terms of throughput, end-to-end delay, and routing overhead. This proposed method is expected to support Device-to-Device (D2D) communications that are concerned with the quality of the channel awareness in the development of the future Fifth Generation (5G).

scholarly journals A hybrid objective function with empirical stability aware to improve RPL for IoT applications

2021 ◽  
Vol 11 (3) ◽  
pp. 2350
Author(s):  
Abdelhadi Eloudrhiri Hassani ◽  
Aicha Sahel ◽  
Abdelmajid Badri ◽  
El Mourabit Ilham
Keyword(s):  
Objective Function ◽  
Convergence Time ◽  
Delivery Ratio ◽  
Routing Metric ◽  
Network Stability ◽  
Lossy Networks ◽  
Hop Count ◽  
Performance Requirements ◽  
Routing Performance ◽  
The Internet Of Things

The diverse applications of the internet of things (IoT) require adaptable routing protocol able to cope with several constraints. Thus, RPL protocol was designed to meet the needs for IoT networks categorized as low power and lossy networks (LLN). RPL uses an objective function based on specific metrics for preferred parents selection through these packets are sent to root. The single routing metric issue generally doesn’t satisfy all routing performance requirements, whereas some are improved others are degraded. In that purpose, we propose a hybrid objective function with empirical stability aware (HOFESA), implemented in the network layer of the embedded operating system CONTIKI, which combines linearly three weighty metrics namely hop count, RSSI and node energy consumption. Also, To remedy to frequent preferred parents changes problems caused by taking into account more than one metric, our proposal relies on static and empirical thresholds. The designed HOFESA, evaluated under COOJA emulator against Standard-RPL and EC-OF, showed a packet delivery ratio improvement, a decrease in the power consumption, the convergence time and DIO control messages as well as it gives network stability through an adequate churn.

scholarly journals Energy Consumption Evaluation of a Routing Protocol for Low-Power and Lossy Networks in Mesh Scenarios for Precision Agriculture

Sensors ◽  
2020 ◽  
Vol 20 (14) ◽  
pp. 3814
Author(s):  
Frederico O. Sales ◽  
Yelco Marante ◽  
Alex B. Vieira ◽  
Edelberto Franco Silva
Keyword(s):  
Energy Consumption ◽  
Low Power ◽  
Routing Protocol ◽  
Precision Agriculture ◽  
Task Force ◽  
Low Cost ◽  
Sensor Nodes ◽  
Lossy Networks ◽  
Hop Count ◽  
Grid Topology

Sensor nodes are small, low-cost electronic devices that can self-organize into low-power networks and are susceptible to data packet loss, having computational and energy limitations. These devices expand the possibilities in many areas, like agriculture and urban spaces. In this work, we consider an IoT environment for monitoring a coffee plantation in precision agriculture. We investigate the energy consumption under low-power and lossy networks considering three different network topologies and an Internet Engineering Task Force (IETF) standardized Low-power and Lossy Network (LLN) routing protocol, the Routing Protocol for LLNs (RPL). For RPL, each secondary node selects a better parent according to some Objective Functions (OFs). We conducted simulations using Contiki Cooja 3.0, where we considered the Expected Transmission Count (ETX) and hop-count metric (HOP) metrics to evaluate energy consumption for three distinct topologies: tree, circular, and grid. The simulation results show that the circular topology had the best (lowest) energy consumption, being 15% better than the grid topology and 30% against the tree topology. The results help the need to improve the evolution of RPL metrics and motivate the network management of the topology.

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