Performance analysis of IoT protocol under different mobility models

Kabilan, K.; Bhalaji, N.; Chithra, S.; B, Mahesh Kumaar; Karthikeyan, P T R

doi:10.1016/j.compeleceng.2018.09.007

Cited by 23 publications

(13 citation statements)

References 8 publications

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“…A dynamic network involves frequent topology changes because of frequent joining and leaving of nodes. In RPL‐based LLNs, a node may change its location from time to time, which causes a change in network topology, and such networks are known as mobile dynamic networks . RPL manages topology changes caused due to node movements, by sending DIS messages to discover nearby DODAG nodes.…”

Section: Proposed Solutionmentioning

confidence: 99%

“…To show the capability of Secure‐RPL in dynamic network, a set of experiments with 16 sensor nodes are performed considering different increasing values of DIS intervals (timers), eg, 15,30,60,90,120. Random Waypoint Mobility Model is used to simulate the behavior of mobile nodes where the speed of nodes is set between 1 m/s and 2 m/s . A simulation grid of size 200 m ×200 m is used to simulate connection and disconnection of nodes from DODAG frequently.…”

Section: Performance Evaluationmentioning

confidence: 99%

“…In RPL-based LLNs, a node may change its location from time to time, which causes a change in network topology, and such networks are known as mobile dynamic networks. [68][69][70] RPL manages topology changes caused due to node movements, by sending DIS messages to discover nearby DODAG nodes. RFC 6550 does not define any fixed rule or scheduling algorithm for the transmission of DIS messages.…”

Section: Proposed Solutionmentioning

confidence: 99%

“…Performance of Secure-RPL in dynamic network scenario (15 min 70 A simulation grid of size 200 m ×200 m is used to simulate connection and disconnection of nodes from DODAG frequently. Figure 16 shows the comparison of control packet overhead of network in RPL Under Attack and Secure-RPL cases, and first response time (ie, first time at which the attack is detected) of Secure-RPL.…”

Section: Figure 16mentioning

confidence: 99%

See 3 more Smart Citations

Mitigation of DIS flooding attacks in RPL‐based 6LoWPAN networks

Verma

Ranga

2019

Trans Emerging Tel Tech

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The IPv6 Routing Protocol for Low‐Power and Lossy Networks (RPL) is the de facto routing protocol for IPv6‐based Low‐Power Wireless Personal Area Networks (6LoWPAN). In RPL protocol, DODAG Information Solicitation (DIS) messages are sent by the node to join the network. A malicious node can exploit this mechanism to send illegitimate DIS messages to the neighbor nodes to perform a DIS flooding attack. In this research paper, it is observed that the DIS flooding attack increases the control packet overhead of the network, which significantly degrades the network's performance. This further increases the power consumption of the nodes in the network. To address this problem, a mitigation scheme named Secure‐RPL is proposed. The proposed scheme mitigates significantly the effects of DIS flooding attack on the network's performance. The effectiveness of the proposed Secure‐RPL scheme is compared with standard RPL protocol. The experimental results show that Secure‐RPL detects and mitigates DIS flooding attack quickly and efficiently in both static and dynamic network scenarios, without adding any significant overhead to the nodes.

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Section: Proposed Solutionmentioning

confidence: 99%

Section: Performance Evaluationmentioning

confidence: 99%

Section: Proposed Solutionmentioning

confidence: 99%

Section: Figure 16mentioning

confidence: 99%

See 2 more Smart Citations

Mitigation of DIS flooding attacks in RPL‐based 6LoWPAN networks

Verma

Ranga

2019

Trans Emerging Tel Tech

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“…The important work of routing protocols is to select the optimal route for the node for data forwarding toward the base node [7]. In WSNs routing protocol is the primary technology that works under the network layer [8]. The routing protocol of the network layer ensures that s-node has successfully transmitted data toward the base station.…”

Section: Introductionmentioning

confidence: 99%

Study and Analysis of Delay Sensitive and Energy Efficient Routing Approach

Ali¹,

Mahmood²,

Ayzed³

et al. 2019

IJACSA

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Wireless Sensing Networks (WSNs) comprised of significant numbers of miniatures and reasonable sensor nodes, which sense data from surrounding and forwarded data toward the base station (BS) via multi-hop fashion through cluster head node (CHN). The random selection of CHN in WSNs is fully based on the nodes residing energy. The node residing energy and network sustainability is hot research issues of the day in WSNs. There are many deficiencies in less energy adaptive clustering hierarchy (LEACH) RP due to the rapid energy usage of ordinary and CHN because of direct communication to the base station. The rapid draining of node energy produces huge numbers of hole in the network causing retransmission of data packet, route update cost, and E2E delay. In this paper, the proposed Delay Sensitive and Energy Efficient (DSEE) Routing Protocol (RP) select CHN considering distance difference and amount of remaining energy of neighboring nodes. In this proposed approach, data fusion technology (DFT) was implemented to solve the problem of data redundancy, but it does not design a specific data fusion algorithm. At last, simulation experiments proved the superiority of the improved protocol LEACH-DSEE and finally, we compare this improved routing protocol with existing protocols by consideration metrics such as node death ratio, data packet delivery ration and node energy consumption.

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A systematic survey on internet of things: Energy efficiency and interoperability perspective

Rana

Singh

2020

Trans Emerging Tel Tech

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With the provision of rapid advancement in smart devices used in various technological fields exponentially increases the heterogeneity and energy consumption in internet of things (IoT). The technological leap in information and communication technology instigates the heterogeneity in smart devices, frameworks, architectures, communication technologies, and various industrial and nonindustrial applications. Therefore, a detailed taxonomy of IoT is proposed covering the diverse aspect of IoT lacking interoperability and energy efficiency. Existing research lacks the root causes of heterogeneity and energy consumption at the industrial and technological level. Keeping this in view, our research identified industrial integration and technological challenges. Moreover, we explore the effect on IoT devices when different types of energy harvesters are connected with IoT devices. Our comprehensive research addresses the various issues such as resource management, fog data analytics, energy consumption, heterogeneity, scalability, and the role of quality of service, data science, machine learning to accomplish interoperability and energy efficiency in IoT.

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Performance analysis of IoT protocol under different mobility models

Cited by 23 publications

References 8 publications

Mitigation of DIS flooding attacks in RPL‐based 6LoWPAN networks

Mitigation of DIS flooding attacks in RPL‐based 6LoWPAN networks

Study and Analysis of Delay Sensitive and Energy Efficient Routing Approach

A systematic survey on internet of things: Energy efficiency and interoperability perspective

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