2018
DOI: 10.1002/dac.3567
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Fuzzy logic–based jamming detection algorithm for cluster‐based wireless sensor network

Abstract: Summary In this paper, a fuzzy logic–based jamming detection algorithm (FLJDA) is proposed to detect the presence of jamming in downstream data communication for cluster‐based wireless sensor networks. The proposed FLJDA keeps an eye on the existing nodes and new node to determine their behavior by applying fuzzy logic on measured jamming detection metrics. To monitor the behavior of the nodes, the FLJDA computes the jamming detection metrics, namely, packet delivery ratio and received signal strength indicato… Show more

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Cited by 19 publications
(18 citation statements)
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References 35 publications
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“…[16]. From the outcomes, it was recognised that the PSR and PDR were difficult to decide about jamming and its types [17]. • Average number of required transmissions per packet (ATX): Heo et al [18] define the ATX metric as a total number of transmissions divided by the number of successfully received unique packets.…”
Section: A Jamming Attacksmentioning
confidence: 99%
See 1 more Smart Citation
“…[16]. From the outcomes, it was recognised that the PSR and PDR were difficult to decide about jamming and its types [17]. • Average number of required transmissions per packet (ATX): Heo et al [18] define the ATX metric as a total number of transmissions divided by the number of successfully received unique packets.…”
Section: A Jamming Attacksmentioning
confidence: 99%
“…However, it is hard to measure the BER by a sensor node since it needs to collect a tremendous amount of data. Moreover, this method cannot classify different kinds of jamming attacks [17]. • Packets Dropped per Terminal (PDPT): Misra et al…”
Section: A Jamming Attacksmentioning
confidence: 99%
“…The jamming detection technique (JDT) 22 and a framework 23 determine the occurrence of jamming by comparing measured PDR and RSSI with their threshold value. In Vijayakumar et al, 24 fuzzy logic is applied for enhancing the detection accuracy. The proposed system applies the adaptive neuro fuzzy logic, 25 statistical approach, 26 and multi criteria decision-making system to identify the jamming.…”
Section: Related Workmentioning
confidence: 99%
“…Due to the availability of limited supply of power in the sensor node, clustering technique is generally incorporated into the wireless sensor network . The basic idea behind the clustering is to divide the entire field of interest into small nonoverlapping segments called as clusters.…”
Section: Introductionmentioning
confidence: 99%
“…9,10 Due to the availability of limited supply of power in the sensor node, clustering technique is generally incorporated into the wireless sensor network. 11,12 The basic idea behind the clustering is to divide the entire field of interest into small nonoverlapping segments called as clusters. After formation of the clusters, in each cluster, there is one cluster head (CH) that receives the data from their cluster members from its own cluster, and finally, CHs aggregate the received information into a single lump of data and transfer this to the BS.…”
Section: Introductionmentioning
confidence: 99%