OF-ECF ::a new optimization of the objective function for parent selection in RPL

The RPL routing protocol is designed to respond to the requirements of a large range of Low-power and Lossy Networks (LLNs). RPL uses an objective function (OF) to build the route toward a destination based on routing metrics. Considering only a single metric, some network performances can be improved while others may be degraded. In this paper, we present a flexible Objective Function based on Expected Transmission Count (ETX), Consumed Energy and Forwarding Delay (OF-ECF) built on a combination of metrics using an additive method. The main goal of this proposed solution is to balance energy consumption and minimize the average delay. To improve the reliability of the network, a flexible routing scheme that provides the diversity of paths and a higher availability is presented. Simulations results show that the new objective function OF-ECF outperforms the OF-FUZZY, and the standards OF0 and MRHOF. In terms of network lifetime and reliability

Path Quality Estimator for 802.15.4e TSCH Fast Deployment Tool

[EN] This paper introduces a novel quality estimator that uses different metrics to decide the best path towards the root in Wireless Sensor Networks. The different metrics are assessed at medium access control layer (MAC), under the IEEE 802.15.4 standard, and are used at network layer, enhancing the best path selection process done by the routing protocol, and at the application layer, enabling visual quality indicators in the nodes. This quality function is used during deployment stage; ensuring nodes are located optimally and nimbly. This mechanism will help WSN¿s adoption in Industrial Internet of Things applications.This work is supported by IVACE (Insituto Valenciano de Competitividad Empresarial) through FEDER funding (exp. IMDEEA/2017/103).Vera-Pérez, J.; Todoli Ferrandis, D.; Santonja Climent, S.; Silvestre-Blanes, J.; Sempere Paya, VM. (2018). Path Quality Estimator for 802.15.4e TSCH Fast Deployment Tool. Telfor Journal (Online). 10(1):2-7. https://doi.org/10.5937/telfor1801002VS27101O. Gaddour, A. Koubâa, S. Chaudhry, M. Tezeghdanti, R. Chaari and M. Abid, 'Simulation and Performance Evaluation of DAG Construction with RPL,' in IEEE Third International Conference on Communications and Networking (ComNet), pp. 1-8, 2012.;IETF, 'RFC 6552 - Objective Function Zero for the Routing Protocol for Low-Power and Lossy Networks (RPL),' 2012.;IETF, 'RFC 6719 - The Minimum Rank with Hysteresis Objective Function,' 2012.;N. Pradeska, Widyawan, W. Najib and S. S. Kusumawardani, 'Performance Analysis of Objective Function MRHOF and OF0 in Routing Protocol RPL IPv6 Over Low Power Wireless Personal Area Networks (6LoWPAN),' in 8th International Conference on Information Technology and Electrical Engineering (ICITEE), Yogyakarta, Indonesia, 2016.;P. O. Kamgueu, E. Nataf, T. D. Ndié and O. Festor, 'Energy-based routing metric for RPL,' Doctoral dissertation, INRIA, 2013.;H.-S. Kim, J. Paek and S. Bahk, 'QU-RPL: Queue utilization based RPL for load balancing in large scale industrial applications,' in 12th Annual IEEE International Conference on Sensing, Communication and Networking (SECON), Seattle, WA, USA, 2015.;P. Gonizzi, R. Monica and G. Ferrari, 'Design and evaluation of a delay-efficient RPL routing metric,' in 9th International Wireless Communication and Mobile Computing Conference (IWCMC), Sardinia, Italy, 2013.;IETF, 'RFC 6551 - Routing Metrics Used for Path Calculation in Low-Power and Lossy Networks,' 2012.;N. Baccour, A. Koubâa, L. Mottola, M. A. Zúñiga, H. Youssef, C. A. Boano and M. Alves, 'Radio link quality estimation in wireless sensor networks: A survey,' ACM Transactions on Sensor Networks (TOSN), vol. 8 (4), 2012.;P. Karkazis, H. C. Leligou, L. Sarakis, T. Zahariadis, P. Trakadas, T. H. Velivassaki and C. Capsalis, 'Design of primary and composite routing metrics for RPL-compliant Wireless Sensor Networks,' in International Conference on Telecommunications and Multimedia (TEMU), Chania, Greece, 2012.;N. Baccour, A. Koubâa, H. Youssef, M. B. Jamâa, D. d. Rosário, M. Alves and L. B. Becker, 'F-LQE: A Fuzzy Link Quality Estimator for Wireless Sensor Networks,' in European Conference on Wireless Sensor Networks (EWSN), Coimbra, Portugal, 2010.;S. Rekik, N. Baccour, M. Jmaiel and K. Drira, 'Holistic link quality estimation-based routing metric for RPL networks in smart grids,' in IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), Valencia, Spain, 2016.;O. Gaddour, A. Koubaa, N. Baccour and M. Abid, 'OF-FL: QoSaware fuzzy logic objective function for the RPL routing protocol,' in 12th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), Hammamet, Tunisia, 2014.;IETF, 'RFC 8180 - Minimal IPv6 over TSCH Mode of IEEE 802.15.4e (6TiSCH) Configuration,' 2017.;M. G. Amor, A. Koubâa, E. Tovar and M. Khalgui, 'Cyber-OF: An Adaptative Cyber-Physical Objective Function for Smart Cities Applications,' in 28th Euromicro Conference on Real-Time Systems (ECRTS), Toulouse, France, 2016.;J. Vera-Pérez, D. Todolí-Ferrandis, J. Silvestre-Blanes, S. SantonjaCliment and V. Sempere-Paya, 'Path quality estimator for wireless sensor networks fast deployment tool,' 2017 25th Telecommunication Forum (TELFOR), Belgrade, 2017, pp. 1-4.

Internet of Satellites (IoSat): analysis of network models and routing protocol requirements

The space segment has been evolved from monolithic to distributed satellite systems. One of these distributed systems is called the federated satellite system (FSS) which aims at establishing a win-win collaboration between satellites to improve their mission performance by using the unused on-board resources. The FSS concept requires sporadic and direct communications between satellites, using inter satellite links. However, this point-to-point communication is temporal and thus it can break existent federations. Therefore, the conception of a multi-hop scenario needs to be addressed. This is the goal of the Internet of satellites (IoSat) paradigm which, as opposed to a common backbone, proposes the creation of a network using a peer-to-peer architecture. In particular, the same satellites take part of the network by establishing intermediate collaborations to deploy a FSS. This paradigm supposes a major challenge in terms of network definition and routing protocol. Therefore, this paper not only details the IoSat paradigm, but it also analyses the different satellite network models. Furthermore, it evaluates the routing protocol candidates that could be used to implement the IoSat paradigm.Peer ReviewedPostprint (author's final draft

Towards Efficient Load Balancing Strategy for RPL Routing Protocol in IoT Networks

학위논문 (석사)-- 서울대학교 대학원 : 공과대학 컴퓨터공학부, 2018. 8. Chong-Kwon Kim.The IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL) has been considered as the new standard routing protocol designed to meet the requirements of wide range of Low Power and Lossy Networks (LLNs) applications including industrial and environmental monitoring, smart grid, and wireless sensor networks. However, due to the uneven deployment of sensor nodes in large-scale networks and the heterogeneous traffic patterns, some sensor nodes have much heavier workload than others. The lack of load balancing mechanism results in these sensor nodes quickly exhausting their energy, therefore shorten the network lifetime of battery-powered wireless sensor networks. To overcome this problem, we propose a skewness and load balancing routing protocol based on the RPL protocol, named SB-RPL that exploits various routing metrics including link quality and skewness among subtrees of the network in support topology construction. In this work, we first investigate the load balancing and related issues of RPL both via numerical simulations and via actual large-scale testbed. Performance analysis results show that RPL trees suffer from severe skewness regardless of routing metrics in randomly generated networks. Through extensive computer simulations and actual experiments, we demonstrate that SB-RPL significantly improves end-to-end packet delivery performance and tree balance compared to the standard RPL.Contents ABSTRACT…………………………………………………………..i Contents…………………………………………………………….iii List of Figures...……………………………………………………vi List of Tables…...…………………………………………………vii Glossary…………..…………………………………………………viii Chapter I: Introduction ................................................. 1 1.1. Overview ............................................................... 1 1.2. Motivation ............................................................. 2 1.3. Key Idea ................................................................. 4 1.4. Contribution ........................................................... 4 1.5. Thesis Organization ................................................. 6 Chapter II: Background and Literature Review ................. 7 2.1. RPL Overview .......................................................... 7 2.2. DODAG Construction ............................................... 7 2.3. Trickle Timer .............................................................10 2.4. RPL Operation Modes ...............................................11 2.5. Literature Review ......................................................11 2.5.1. RPL Objective Functions: ........................................11 2.5.2. Balanced Routing protocols ...................................13 Chapter III: System Modeling .......................................... 15 3.1. System Models .........................................................15 3.2. RPL Objective Function: ............................................17 Chapter IV: SB-RPL Design .............................................. 20 4.1. Topology-Aware Node Influence ...............................20 4.2. RPL Control Message DIO extension in support of balancing routing .............................................................20 4.3. SB-RPL Design ...........................................................21 Chapter V: Evaluation ...................................................... 25 5.1. RPL in Contiki OS .......................................................25 5.2. Methodology .............................................................26 5.2.1. Testbed Experiments: ..............................................26 5.3. Compared Objective Functions ...................................28 5.4. Metrics........................................................................29 5.5. Testbed Experiments....................................................30 5.5.1. Impact of α and β: ....................................................30 5.5.2. Objective Function Comparison ...............................36 5.6. Cooja-based Simulations ............................................38 5.6.1. Impact of Network Scales ........................................40 5.6.2. Impact of Network Density ......................................41 Chapter VI: Conclusion ..................................................... 43 Bibliography ..................................................................... 44 요 약.................................................................................. 50 Acknowledgments ............................................................ 52Maste

Survey on RPL enhancements: a focus on topology, security and mobility

International audienceA few years ago, the IPv6 Routing Protocol for Low-power and Lossy Networks (RPL) was proposed by IETF as the routing standard designed for classes of networks in which both nodes and their interconnects are constrained. Since then, great attention has been paid by the scientific and industrial communities for the protocol evaluation and improvement. Indeed, depending on applications scenarios, constraints related to the target environments or other requirements, many adaptations and improvements can be made. So, since the initial release of the standard, several implementations were proposed, some targeting specific optimization goals whereas others would optimize several criteria while building the routing topology. They include, but are not limited to, extending the network lifetime, maximizing throughput at the sink node, avoiding the less secured nodes, considering nodes or sink mobility. Sometimes, to consider the Quality of Service (QoS), it is necessary to consider several of those criteria at the same time. This paper reviews recent works on RPL and highlights major contributions to its improvement, especially those related to topology optimization, security and mobility. We aim to provide an insight into relevant efforts around the protocol, draw some lessons and give useful guidelines for future developments

Load balancing and context aware enhancements for RPL routed Internet of Things.

Internet of Things (IoT) has been paving the way for a plethora of potential applications, which becomes more spatial and demanding. The goal of this work is to optimise the performance within the IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL) in the network layer.RPL still suffers from unbalanced load traffic among the candidate parents. Consequently, the overloaded parent node drains its energy much faster than other candidate parent nodes. This may lead to an early disconnection of a part of the network topology and affect the overall network reliability. To solve this problem, a new objective function (OF) has been proposed to usher better load balancing among the bottleneck candidate parents, and keep the overloaded nodes lifetime thriving to longer survival.Moreover, several IoT applications have antagonistic requirements but pertinent, which results in a greater risk of affecting the network reliability, especially within the emergency scenarios. With the presence of this challenging issue, the current standardised RPL OFs cannot sufficiently fulfil the antagonistic needs of Low-power and Lossy Networks (LLNs) applications. In response to the above issues, a context adaptive OF has been proposed to facilitate exchanging the synergy information between the application and network layers. Thus, the impact of the antagonistic requirements based on context parameters will be mitigated via rationalizing the selection decision of the routing path towards the root node.We implemented the proposed protocol and verified all our findings through excessive measurements via simulations and a realistic deployment using a real testbed of a multi-hop LLNs motes. The results proved the superiority of our solution over the existing ones with respect to end-to-end delay, packet delivery ratio and network lifetime. Our contribution has been accepted initially to be adopted within the standard body Internet Engineering Task Force (IETF)