scholarly journals Performance Evaluation of Routing Metrics in the LOADng Routing Protocol

2017 ◽  
Vol 13 (2) ◽  
pp. 87 ◽  
Author(s):  
Jose V. V. Sobral ◽  
Joel J. P. C. Rodrigues ◽  
Neeraj Kumar ◽  
Chunsheng Zhu ◽  
Raja W. Ahmad
Keyword(s):  
Routing Protocol ◽  
Network Performance ◽  
Ad Hoc ◽  
Average Energy ◽  
Delivery Ratio ◽  
Traffic Patterns ◽  
Routing Metric ◽  
Lossy Networks ◽  
Routing Metrics ◽  
Average Latency

LOADng (Lightweight On-demand Ad hoc Distance-vector Routing Protocol - Next Generation) is an emerging routing protocol that emerged as an alternative to RPL (IPv6 Routing Protocol for Low power and Lossy Networks). Although some work has been dedicated to study LOADng, these works do not analyze the performance of this protocol with different routing metrics. A routing metric is responsible for defining values for paths during the route creation process. Moreover, based on these metrics information a routing protocol will select the path to forward a message. Thus, this work aims to realize a performance assessment study considering different routing metrics applied to LOADng. The scenarios under study consider different traffic patterns and network sizes. The routing metrics are evaluated considering the packet delivery ratio, average energy spent per bit delivered, average latency, and number of hops. The results reveals that routing metrics used by this protocol may influence (directly) the network performance.

scholarly journals AODV-UI Proof of Concept on MIPS-based Wireless Router

2014 ◽  
Vol 10 (1) ◽  
pp. 14
Author(s):  
B. Anantasatya Adhi ◽  
Ruki Harwahyu ◽  
Abdusy Syarif ◽  
Harris Simaremare ◽  
R. Fitri Sari ◽  
...  
Keyword(s):  
Routing Protocol ◽  
Network Performance ◽  
Ad Hoc ◽  
Delivery Ratio ◽  
Proof Of Concept ◽  
Mobile Nodes ◽  
Media Access ◽  
Wireless Router ◽  
Hardware Configuration ◽  
Aodv Routing Protocol

AODV routing protocol facilitates changing and simple-to-setup network environment. It helps setting up a network without sufficient infrastructure, such as in disaster area. Development of AODV protocol has gathered a worldwide research interest. However, not many researches implement AODV routing protocol in real mobile nodes and real MANET. In addition, real implementation deals with other works concerning underlying protocol, firmware and hardware configuration, as well as detailed topology both in logical and physical arrangement. This work aims to implements Ad-hoc On-demand Distant Vector – particularly University of Indonesia AODV (AODV-UI) routing protocol on low-end inexpensive generic wireless routers as a proof of concept. AODV-UI is an improved version of AODV routing protocol that implements gateway interconnection and reverse route capability. This routing protocol has been previously successfully tested in NS-2. In this work, current AODV-UI protocol is ported to OpenWRT + MIPS (Microprocessor without Interlocked Pipeline Stages) little endian architecture then tested on the real networking environment. Underlying media access layer is also altered to provide the protocol greater control over the network. Performance of this implementation is measured in terms of energy consumption, routing overhead, end-to-end delay, protocol reliability and packet delivery ratio.

Disaster Relief Management Using Reinforcement Learning-Based Routing

2021 ◽  
Vol 17 (1) ◽  
pp. 24-37
Author(s):  
Gajanan Madhavrao Walunjkar ◽  
Anne Koteswara Rao ◽  
V. Srinivasa Rao
Keyword(s):  
Reinforcement Learning ◽  
Routing Protocol ◽  
Ad Hoc ◽  
Average Energy ◽  
High Mobility ◽  
Adaptive Routing ◽  
Mobility Model ◽  
Delivery Ratio ◽  
Disaster Area ◽  
Disaster Scenario

Effective disaster management is required for the peoples who are trapped in the disaster scenario but unfortunately when disaster situation occurs the infrastructure support is no longer available to the rescue team. Ad hoc networks which are infrastructure-less networks can easily deploy in such situation. In disaster area mobility model, disaster area is divided into different zones such as incident zone, casualty treatment zones, transport areas, hospital zones, etc. Also, in order to tackle high mobility of nodes and frequent failure of links in a network, there is a need of adaptive routing protocol. Reinforcement learning is used to design such adaptive routing protocol which shows good improvement in packet delivery ratio, delay and average energy consumed.

scholarly journals Confidence-based Security System for Routing Protocol in Mobile Ad-hoc Networks

2019 ◽  
Vol 9 (2) ◽  
pp. 2212-2218
Keyword(s):  
Energy Consumption ◽  
Routing Protocol ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Average Energy ◽  
Delivery Ratio ◽  
Node Mobility ◽  
On Demand ◽  
Distance Vector ◽  
Mobile Ad Hoc

A mobile ad-hoc network (MANET) is an infrastructure-less network of wireless nodes. The network topology may change quickly with respect to time, due to node mobility. The network is a disintegrated network, activities such as delivering messages by determining the topology essential to be implemented by the nodes themselves i.e., the routing activity will be unified into mobile nodes. Due to the lack of centralized administration in multihop routing and open environment, MANET’s are susceptible to attacks by compromised nodes; hence, to provide security also energy efficiency is a crucial issue. So as to decrease the hazards of malicious nodes and resolve energy consumption issues, a simple confidence-based protocol is built to evaluate neighbor’s behaviour using forwarding factors. The reactive Ad-hoc on-demand multipath distance vector routing protocol (AOMDV), is extended and confidence-based Ad-hoc on-demand distance vector (CBAOMDV) protocol, is implemented for MANET. This implemented protocol is able to find multiple routes in one route discovery. These routes are calculated by confidence values and hop counts. From there, the shortest path is selected which fulfills the requirements of data packets for reliability on confidence. Several experimentations have been directed to relate AOMDV and CBAOMDV protocols and the outcomes show that CBAOMDV advances throughput, packet delivery ratio, normalized routing load, and average energy consumption.

scholarly journals Performance evaluation of MANET routing protocols based on QoS and energy parameters

2020 ◽  
Vol 10 (4) ◽  
pp. 3635
Author(s):  
Salma S. Mohamed ◽  
Abdel-Fatah I. Abdel-Fatah ◽  
Mohamed A. Mohamed
Keyword(s):  
Performance Evaluation ◽  
Routing Protocol ◽  
Routing Protocols ◽  
Network Performance ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Energy Utilization ◽  
Delivery Ratio ◽  
Distance Vector ◽  
The Impact

Routing selection and supporting Quality of Service (QoS) are fundamental problems in Mobile Ad Hoc Network (MANET). Many different protocols have been proposed in the literature and some performance simulations are made to address this challenging task. This paper discusses the performance evaluation and comparison of two typical routing protocols; Ad Hoc On-Demand Distance Vector (AODV) and Destination-Sequenced Distance-Vector (DSDV) based on measuring the power consumption in network with varing of the QoS parameters. In this paper, we have studied and analyzed the impact of variations in QoS parameter combined with the choice of routing protocol, on network performance. The network performance is measured in terms of average throughput, packet delivery ratio (PDR), average jitter and energy consumption. The simulations are carried out in NS-3. The simulation results show that DSDV and AODV routing protocols are less energy efficient. The main aim of this paper is to highlight the directions for the future design of routing protocol which would be better than the existing ones in terms of energy utilization and delivery ratio.

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 Genetic Optimized Location Aided Routing Protocol for VANET Based on Rectangular Estimation of Position

2020 ◽  
Vol 10 (17) ◽  
pp. 5759 ◽  
Author(s):  
Ravie Chandren Muniyandi ◽  
Faizan Qamar ◽  
Ahmed Naeem Jasim
Keyword(s):  
Energy Consumption ◽  
Routing Protocol ◽  
Network Performance ◽  
Performance Metrics ◽  
Average Energy ◽  
Search Space ◽  
Location Information ◽  
Destination Node ◽  
Delivery Ratio ◽  
Routing Overhead

Vehicle Ad-Hoc Network (VANET) is a dynamic decentralized network that consists of various wireless mobile vehicles with no individual user management. Several routing protocols can be used for VANETs, for example, the Location-Aided Routing (LAR) protocol that utilizes location information provided by the Global Positioning System (GPS) sensors. It can help to reduce the search space for the desired route—limiting the search space results in fewer route discovery messages. However, two essential aspects are ignored while applying the LAR protocol in the VANET-based environment. Firstly, the LAR does not exploit the fact that nodes in VANET do not have pure random movement. In other words, nodes in LAR predict the position of destination node by ignoring the fact that the pre-defined constraint on the destination node navigation is met. Secondly, the nodes in the conventional LAR (or simply stated as LAR) protocol use the location information of the destination node before selecting the route location, which is most likely to expire because of the fast movement of the nodes in the VANET environment. This study presents an estimation based on a heuristic approach that was developed to reject weak GPS location data and accept accurate ones. The proposed routing protocol stated as Rectangle-Aided LAR (RALAR) is based on a moving rectangular zone according to the node′s mobility model. Additionally, the proposed RALAR protocol was optimized by using the Genetic Algorithm (GA) by selecting the most suitable time-out variable. The results were compared with LAR and Kalman-Filter Aided-LAR (KALAR), the most commonly utilized protocols in VANET for performance metrics using Packet Delivery Ratio (PDR), average End-to-End Delay (E2E Delay), routing overhead and average energy consumption. The results showed that the proposed RALAR protocol achieved an improvement over the KALAR in terms of PDR of 4.7%, average E2E delay of 60%, routing overhead of 15.5%, and 10.7% of energy consumption. The results proved that the performance of the RALAR protocol had outperformed the KALAR and LAR protocol in terms of regular network performance measures in the VANET environment.

scholarly journals Load Balancing Metric Based Routing Protocol for Low Power and Lossy Networks (lbRPL)

2018 ◽  
Vol 7 (2.22) ◽  
pp. 39 ◽  
Author(s):  
A Sebastian ◽  
S Sivagurunathan ◽  
. .
Keyword(s):  
Load Balancing ◽  
Low Power ◽  
Routing Protocol ◽  
Network Performance ◽  
Life Time ◽  
Routing Metric ◽  
Lossy Networks ◽  
Heavy Load ◽  
Load Imbalance ◽  
Fast Network

IETF ROLL working Group standardized the IPv6 Routing protocol (RPL) for applications over low-power and lossy networks (LLNs). RPL constructs a Destination Oriented Direction Acyclic Graph (DODAG) to organize network topology. RPL shows fast network setup and good scalability. However, it may suffer from load imbalance due to diverse network traffic and heavy load on preferred or forwarding parents. To optimize the load balancing of routes in RPL, this paper proposes load balancing metric based routing protocol called lbRPL. We introduce a new routing metric for RPL called load balancing index (LBI), which exploits load balancing characteristics of RPL nodes to select more load balanced parents and routes. LBI includes ETX, Parent count (Pc) and Remaining Parent Energy (Pe) metrics to make routing decisions. Simulation results show that lbRPL improves network performance, stability and improved network life time to RPL.  

scholarly journals Detection and Mitigation of RPL Rank and Version Number Attacks in Smart Internet of Things

2020 ◽  
Author(s):  
Zahrah A. Almusaylim ◽  
Abdulaziz Alhumam ◽  
Wathiq Mansoor ◽  
Pushpita Chatterjee ◽  
Noor Zaman Jhanjhi
Keyword(s):  
Internet Of Things ◽  
Routing Protocol ◽  
Smart Cities ◽  
Real Life ◽  
Average Energy ◽  
Delivery Ratio ◽  
Lossy Networks ◽  
Data Packets ◽  
And Performance ◽  
Average Energy Consumption

The rapid growth of the smart Internet of Things (IoT) and massive propagation of wireless technologies revealed the recent opportunities for development in various domains of real life such as smart cities and E-Health applications. A slight defense against different forms of attacks is offered for the current secure and lightweight Routing Protocol for Low Power and Lossy Networks (RPL) of IoT resource-constrained devices. Data packets are highly likely to be exposed while transmitting them during data packets routing. The RPL rank and version number attacks, which are two forms of RPL attacks, can have critical consequences for RPL networks. The studies conducted on these attacks have several security defects and performance shortcomings. The research proposes a Secure RPL Routing Protocol (SRPL-RP) for rank and version number attacks. It mainly detects, mitigates and isolates attacks in the RPL networks. The detection is based on a comparison of ranks strategy. The mitigation uses threshold and attacks status tables, and the isolation adds them to a blacklist table and alerts relevant nodes to skip them. SRPL-RP supports diverse types of network topologies and is comprehensively analyzed with multiple studies such as Standard RPL with Attacks, SBIDS and RPL+ Shield. The analysis results showed that the SRPL-RP achieves great improvements with Packet Delivery Ratio (PDR) of 98.48%, control message value of 991 packets/second, and average energy consumption of 1231.75 joules. It provides a better accuracy rate with 98.17% under the attacks.

scholarly journals Congestion Control and Traffic Differentiation for Heterogeneous 6TiSCH Networks in IIoT

Sensors ◽  
2020 ◽  
Vol 20 (12) ◽  
pp. 3508
Author(s):  
Hossam Farag ◽  
Patrik Österberg ◽  
Mikael Gidlund
Keyword(s):  
Congestion Control ◽  
Routing Protocol ◽  
Network Performance ◽  
Heavy Traffic ◽  
Service Differentiation ◽  
Routing Metric ◽  
Lossy Networks ◽  
Heavy Load ◽  
Packet Delivery ◽  
Critical Data

The Routing Protocol for Low power and lossy networks (RPL) has been introduced as the de-facto routing protocol for the Industrial Internet of Things (IIoT). In heavy load scenarios, particular parent nodes are likely prone to congestion, which in turn degrades the network performance, in terms of packet delivery and delay. Moreover, there is no explicit strategy in RPL to prioritize the transmission of different traffic types in heterogeneous 6TiSCH networks, each according to its criticality. In this paper, we address the aforementioned issues by introducing a congestion control and service differentiation strategies to support heterogeneous 6TiSCH networks in IIoT applications. First, we introduce a congestion control mechanism to achieve load balancing under heavy traffic scenarios. The congestion is detected through monitoring and sharing the status of the queue backlog among neighbor nodes. We define a new routing metric that considers the queue occupancy when selecting the new parent node in congestion situations. In addition, we design a multi-queue model to provide prioritized data transmission for critical data over the non-critical ones. Each traffic type is placed in a separate queue and scheduled for transmission based on the assigned queue priority, where critical data are always transmitted first. The performance of the proposed work is evaluated through extensive simulations and compared with existing work to demonstrate its effectiveness. The results show that our proposal achieves improved packet delivery and low queue losses under heavy load scenarios, as well as improved delay performance of critical traffic.

scholarly journals Congestion Control for Improved Cluster-head Gateway Switch Routing Protocol using Modified Ad-hoc on-demand Distance Vector Algorithm

2019 ◽  
Vol 8 (3) ◽  
pp. 6013-6018
Keyword(s):  
Energy Consumption ◽  
Routing Protocol ◽  
Ad Hoc ◽  
Cluster Head ◽  
Average Energy ◽  
Delivery Ratio ◽  
Packet Delivery ◽  
On Demand ◽  
Distance Vector ◽  
Average Energy Consumption

MANETs are a trending topic in the wireless communication network. MANETs are formed automatically by an autonomous system of mobile nodes that are connected via wireless links. Cluster-head gateway switch routing protocol (CGSR) is a proactive protocol which is also called table-driven protocol. It consists of routing table information before setting up a connection. Ad-hoc on-demand distance vector protocol (AODV) is a reactive protocol, it sets path only when demanded by the network. CGSR protocol forms a group of nodes into clusters and selects a node as cluster-head based on some clustering algorithms for each cluster. In this paper, we have proposed a protocol, which combines the advantages of both CGSR and AODV to minimize traffic congestion in an ad-hoc wireless network. The performance metrics such as routing overhead, end-end delay, packet delivery ratio, throughput, and average energy consumption are enhanced and compared with other clustering protocols such as CGSR and LEACH protocols. The comparison result reveals that the routing overhead, end-end delay, and the average energy consumption is reduced and packet delivery ratio, throughput is improved.

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