Faulty Sensor Node Detection Using Round Trip Time and Discrete Paths in WSNs

Duche, Ravindra Navanath; Sarwade, Nisha

doi:10.1155/2013/941489

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…Clustering helps in saving the network resources by selecting a node (CH) that is responsible for collecting and aggregating data of a subnetwork. [40][41][42] Figures 10 and 11 illustrate the comparison of alive and dead nodes, respectively, between the benchmark clustering scheme 16 and our proposed clustering scheme. The initial energy of each ON is 0.5 Joule.…”

Section: F I G U R Ementioning

confidence: 99%

Energy optimization with authentication and cost effective storage in the wireless sensor IoTs using blockchain

Alghamdi,

Javaid

2024

Computational Intelligence

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In this paper, a hybrid blockchain‐based authentication scheme is proposed that provides the mechanism to authenticate the randomly distributed sensor IoTs. These nodes are divided into three types: ordinary nodes, cluster heads and sink nodes. For authentication of these nodes in a Wireless Sensor IoTs (WSIoTs), a hybrid blockchain model is introduced. It consists of both private and public blockchains, which are used to authenticate ordinary nodes and cluster heads, respectively. Moreover, to handle the issue of cluster head failure due to inefficient energy consumption, Improved Heterogeneous Gateway‐based Energy‐Aware Multi‐hop Routing (I‐HMGEAR) protocol is proposed in combination with blockchain. It provides a mechanism to efficiently use the overall energy of the network. Besides, the processed data of subnetworks is stored on blockchain that causes the issue of increased monetary cost. To solve this issue, an external platform known as InterPlanetary File System (IPFS) is used, which distributively stores the data on different devices. The simulation results show that our proposed model outperforms existing clustering scheme in terms of network lifetime and data storage cost of the WSIoTs. Our proposed scheme increases the lifetime of the network as compared to existing trust management model, intrusion prevention and multi WSN authentication schemes by 17.5%, 24.2% and 19.6%, respectively.

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Section: F I G U R Ementioning

confidence: 99%

Energy optimization with authentication and cost effective storage in the wireless sensor IoTs using blockchain

Alghamdi,

Javaid

2024

Computational Intelligence

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“…In other respects, the works in propose to adapt the failure detection to the constraints of wireless sensor networks. In , the authors proposed the protocol Round Trip Delay Time that detects failures by using a certainty parameter of a round trip path. The latter is computed by assessing the Round‐trip delay.…”

Section: Failure Detector Protocolsmentioning

confidence: 99%

Towards an efficient failure detection in MANETs

Benkaouha

Abdelli

Ben‐Othman

et al. 2016

Wirel. Commun. Mob. Comput.

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Mobile ad hoc networks (MANETs) are characterized by a dynamic topology and generally deployed in a hostile environment with limited resources. As a result, the nodes are more vulnerable and are often subject to failures. Therefore, the design of an efficient failure detector in MANETs is a very challenging issue as the detection is proved to be unreliable. Such an achievement amounts to balance between the performances of the accuracy, the completeness and the resource consumption. We present and discuss in this paper a solution for an efficient failure detection in MANETs. This new protocol, called efficient failure detection for MANETs, exploits different mechanisms to improve the completeness and the accuracy of the detection while reducing the traffic overhead. The number of used timers are limited to two for each node thus reducing the complexity of the algorithm. The simulations performed on NS2 platform show the efficiency of efficient failure detection for MANETs comparing with other protocols.

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Faulty Sensor Node Detection Using Round Trip Time and Discrete Paths in WSNs

Cited by 2 publications

References 8 publications

Energy optimization with authentication and cost effective storage in the wireless sensor IoTs using blockchain

Energy optimization with authentication and cost effective storage in the wireless sensor IoTs using blockchain

Towards an efficient failure detection in MANETs

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