Fuzzy optimised routing metric with mobility support for RPL

Sanshi, Shridhar; Jaidhar, C. D.

doi:10.1049/iet-com.2018.5562

Cited by 8 publications

(4 citation statements)

References 31 publications

(32 reference statements)

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“…Considering this Fuzzy logic is the ideal option [15]. Fuzzy logic is an accurate method widely used to combine several values to obtain a single precise output [16]. It is ideal in LLN as the implementation is supported by the sensor devices and can enhance network performance.…”

Section: Design Of Rpl-fz Using Fuzzy Logicmentioning

confidence: 99%

Design of an Efficient RPL Objective Function for Internet of Things Applications

Kuwelkar¹,

Virani²

2021

IJACSA

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Over the decade, a rapid growth in use of smart devices connected and communicating over the Internet is seen in various domains. The IPv6 Routing protocol for Low power and Lossy Networks (RPL) is the routing backbone of such IOT networks. RPL is a proactive, distance vector protocol which constructs the routes based on an Objective Function. The performance of RPL protocol largely depends on the design of Objective Function. Depending on application requirements, the RPL standard offers flexibility in design of the objective function and scope for improving the routing process. In this paper, an efficient Objective Function, RPL-FZ, is proposed. Speedy communication across nodes, low energy consumption and reliable data delivery is key to achieve quality of Service. Considering this, RPL-FZ uses relevant metrics like Residual Energy of Node, Delay and ETX (Expected Transmission count) to make the routing decisions. The metrics are combined using fuzzy logic technique to obtain a single metric Quality for each neighbor node. The neighbor with highest value of Quality is chosen as best parent to forward sensed data toward the collection unit. The proposed objective function RPL-FZ is integrated in the Contiki OS and network simulations are performed using the COOJA simulator. The performance evaluation reveals that RPL-FZ achieves 7% higher Packet Delivery rate, 8% lower energy consumption and 8% lesser latency as compared to single metric based standard objective functions OF0 and MRHOF.

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Section: Design Of Rpl-fz Using Fuzzy Logicmentioning

confidence: 99%

Design of an Efficient RPL Objective Function for Internet of Things Applications

Kuwelkar¹,

Virani²

2021

IJACSA

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“…They also proposed a new dynamic trickle algorithm for Trickle Timer to solve long listen only period and allocates timer for reducing route convergence time. In [33], the authors have suggested fuzzy optimized routing metric with mobility support (FL-RPL) which improves the performance of network with mobile nodes. To enable mobility support a novel metric called mobility timer is developed which keeps the time that a MN requires to move out of range of its PP.…”

Section: Related Workmentioning

confidence: 99%

MEQA-RPL: A Mobility Energy and Queue Aware Routing Protocol for Mobile Nodes in Internet of Things

Cyriac

Durai

2021

Preprint

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Increase in mobile nodes has brought new challenges to IoT’s routing protocol-RPL. Mobile nodes (MN) bring new possibilities as well as challenges to the network. MN creates frequent route disruption, energy loss and increases end-to-end delay in the network. This could be solved by improving RPL to react faster to route failures through route prediction, while keeping energy expenditure for this process in reasonable limits. In this context a new Mobility Energy and Queue Aware-RPL (MEQA-RPL) is proposed that have the capability to sense route failure and to identify proactively the next possible route before the current route fails. While identifying the next route, MEQA-RPL employs constraint check on energy and queue availability to guarantee QoS for MN and better lifetime for the network. When compared to RPL with mobility support our model reduce average signaling cost by 31%, handover delay by 32% and improve packet delivery ratio by 17%. We run simulations with multiple mobile nodes which have also shown promising results on aforementioned parameters.

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“…Mobility impacts network lifetime in WSN greatly. Mobile nodes increase the number of disconnections, data loss, and energy dissipation [13]. LEACH-M or LEACH-mobile incorporated a cost function model so that it can include mobile nodes with varying speeds [14], [15].…”

Section: Introductionmentioning

confidence: 99%

Adaptive clustering in energy efficient routing protocol for mobile nodes in WSNs

Khattak

Ashraf

2022

IJIST

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Introduction: Wireless Sensor Networks (WSN) is a collection of large number of small sensor nodes which communicate sensed data over a radio channel covering wide geographical region. Problem statement: A number of algorithms have been developed to enhance the network lifetime of WSN by efficiently utilizing the sources of energy. The most commonly used approach is clustering that is prone to uneven load balancing and instability issues. Furthermore, topological changes in WSN structure especially with mobile nodes significantly effect network lifetime. Methodology: In this study, we have proposed an Adaptive-Cluster-based Energy Efficient Routing Protocol (A-EECBRP), which employs a novel geometrical Voronoi-based configuration to solve load balancing and mobility issues while maintaining network stability and coverage. Furthermore, energy cost function and Energy Harvesters (EH) devices were implemented to reduce energy consumption and increase network life. Moreover, the concept of handshaking and random waypoint model for nodes movement between cluster groups was examined to define mobile nodes. Results: Simulation results obtained from network analysis performed on MATLAB® showed that A-EECBRP reduced energy consumption by almost 1500 rounds as compared to LEACH-M. This significantly improved the network lifetime of WSN as compared to the LEACH-M routing protocol. Therefore, our proposed scheme provides a huge potential for implementing energy-efficient routing protocols in mobile wireless sensor networks.

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Fuzzy optimised routing metric with mobility support for RPL

Cited by 8 publications

References 31 publications

Design of an Efficient RPL Objective Function for Internet of Things Applications

Design of an Efficient RPL Objective Function for Internet of Things Applications

MEQA-RPL: A Mobility Energy and Queue Aware Routing Protocol for Mobile Nodes in Internet of Things

Adaptive clustering in energy efficient routing protocol for mobile nodes in WSNs

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