Review on mobility aware MAC protocol using Mobile internet of things

Diniesh, V. C.; Murugesan, G.

doi:10.1007/s11042-022-13131-4

Cited by 3 publications

(3 citation statements)

References 41 publications

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“…As a result, our article has demonstrated the ability of the network to handle up to 220 nodes, with the potential for further expansion to accommodate a larger number of nodes, assuming there are no computational constraints. The authors of the research [13] assessed the network performance using four different combinations of single and multiple measures, considering both critical and periodic traffic. The simulation results depicted the graphical patterns for network convergence, packet delivery ratio (PDR), and latency.…”

Section: Background and Related Workmentioning

confidence: 99%

“…ARMOR [13] Time to reside refers to the duration that an object or entity remains in a particular location or state before moving or changing.…”

Section: Weaknessesmentioning

confidence: 99%

“…Later studies, like the ones [21,37], and [19], have suggested that dynamic nodes should be used in the evaluation of OF. However, previous studies [3,13] have examined mobility in RPL exclusively within the context of IoT networks. Authors in their publication [17] introduced a routing metric called REFER, which considers the mobility of nodes.…”

Section: Weaknessesmentioning

confidence: 99%

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A multi path routing protocol with efficient energy consumption in IoT applications real time traffic

Abujassar

2024

J Wireless Com Network

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The extensive utilization of IoT applications leads to the aggregation of a substantial volume of data, presenting a crucial challenge in terms of data routing within these networks. RPL intentionally surpasses the limitations sometimes observed in low-power and lossy networks, which are particularly prevalent in IoT networks. The RPL protocol is designed specifically for static networks that do not involve mobility or topological changes. The RPL protocol guarantees continuous connectivity between nodes and mitigates the risk of data loss in stationary IoT applications that do not involve mobility or alterations in network configuration. The article utilizes a mobility aid technology known as network performance stability using the intelligent routing protocol (nPSIR), which expands upon RPL. The Mobility Support Entity (nPSIR) facilitates the displacement of all nodes, with the exception of the root node, and ensures uninterrupted connection during mobility. Moreover, it deals with the situation where there is a physical barrier between two interconnected nodes in a changing environment. In order to achieve this objective, it employs a dynamic trickle timer that operates within two distinct ranges. Furthermore, it utilizes a neighbor link quality table, a mechanism for selecting the most beneficial parent node in the event of migration, a measure of confidence, the identification of crucial regions, and a blacklist. Multiple simulations validate that nPSIR effectively decreases hand-off delay and improves packet delivery, despite the minor drawbacks of increased signaling costs and power consumption. The delivery ratio decreases the quantity of lost data packets and surpasses both RPL as a responsive protocol and mRPL as a proactive protocol in relation to mobility.

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Section: Background and Related Workmentioning

confidence: 99%

“…ARMOR [13] Time to reside refers to the duration that an object or entity remains in a particular location or state before moving or changing.…”

Section: Weaknessesmentioning

confidence: 99%