A Cluster-Based Algorithm for Redundant Nodes Discovery in Dense Sensor Networks

Lu, Li-Liann; Wu, Jean-Lien C.; Yu, Wen-Chi; Chen, San-Hao

doi:10.1109/msn.2009.63

Cited by 6 publications

(6 citation statements)

References 22 publications

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“…In our previous work [28] we have developed a probabilistic model and a secure and energy efficient algorithm to detect the intruder in homogeneous WSNs. Here, fewer sensors are activated to detect the intruder, thus reducing the energy consumption based on the sensing range and transmission range of the sensors.Li-Liannet al, [29] compare Location based, Neighbor based and Probability based algorithms to minimize energy consumption so as to increase the network lifetime and suggests cluster based algorithm that identifies the redundant nodes. In cluster based algorithm the nodes that are grouped under one cluster head are off-duty nodes, since only the cluster head communicates with other nodes.…”

Section: Literature Surveymentioning

confidence: 99%

Probabilistic Model for Single and Multi-Sensing Intrusion Detection in Wireless Sensor Networks

Shaila¹,

Sajitha²,

Tejaswi³

et al. 2014

IOSRJCE

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Wireless Sensor Networks consists of tiny devices capable of processing, routing the sensed data and are capable of detecting the intruders. The process of detecting any suspected(anomalous) moving object(attacker) within the reach of a Wireless Sensor Network area is referred to as intrusion detection. In this paper, we propose an algorithm to detect the intruder by the cluster heads in a 2D and 3D homogeneous Wireless Sensor Networks. This algorithm overcomes the attacks on implementation and also, reduces the energy consumption. The proposed algorithm considers Single Sensing and Multi-Sensing Intrusion Detection using minimum number of sensor nodes and a probabilistic model has been developed for both 2D and 3D homogeneous networks. Simulation results show that the power analysis attack and energy consumption is minimized by activating only few sensor nodes for detection and using only few sensor nodes for processing of data. The performance of the proposed algorithm is better compared to using all the sensor nodes for detection where the energy consumption is more.

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Section: Literature Surveymentioning

confidence: 99%

Probabilistic Model for Single and Multi-Sensing Intrusion Detection in Wireless Sensor Networks

Shaila¹,

Sajitha²,

Tejaswi³

et al. 2014

IOSRJCE

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“…This technique gives the minimum path and alternate paths are also saved in case of node failure. In [9], a Cluster based algorithm is proposed that can present a flexible, adjustable and energy efficient scheme to identify redundant nodes for different requirements of network life time and low sensing coverage loss ratio.…”

Section: Related Workmentioning

confidence: 99%

Level Partitioning of Nodes to Enhance the Network Lifetime During Intrusion Detection in Wireless Sensor Networks

Karuppiah

Keerthinath

Rajan

et al. 2013

GRET

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A Wireless Sensor Network (WSN) consists of many sensor nodes with low cost and power capability Based on the deployment, in the sensing coverage of a sensor node, typically more nodes are covered. A major challenge in constructing a WSN is to enhance the network life time. Nodes in a WSN are usually highly energy-constrained and expected to operate for long periods from limited on-board energy reserves. To permit this, nodes and the embedded software that they execute – must have energy-aware operation. Because of this, continued developments in energy-efficient operation are paramount, requiring major advances to be made in energy hardware, power management circuitry and energy aware algorithms znd protocols. During Intrusion Detection in sensor networks, some genuine nodes need to communicate with the Cluster Head to inform about the details of malicious nodes. For such applications in sensor networks, a large number of sensor nodes that are deployed densely in specific sensing environment share the same sensing tasks. Due to this, the individual nodes might waste their energy in sensing data that are not destined to it and as a result the drain in the energy of the node is more resulting in much reduced network life time. In this paper, a novel algorithm is developed to avoid redundancy in sensing the data thereby enhancing the life time of the network. The concept of Power Factor bit is proposed while a node communicates with the Cluster Head. The simulation results show that the network life time is greatly enhanced by the proposed method.

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“…A cluster based mechanism has also been proposed in the recent years to present a flexible, energy efficient and adjustable scheme to identify the redundant nodes. The works [5] [6] argue that by implementing such algorithms in dense sensor networks help to reduce the sensing coverage loss ratio. Although these cluster based approaches improve the sensing coverage loss ratio there will be considerable loss of energy.…”

Section: Related Workmentioning

confidence: 99%

“…When a sensor node is in the sleep mode it consumes very less energy than when compared to the one in the active mode. A cluster is a small group of sensor nodes that covers a small area of the entire network [6]. A subset is a set of nodes that covers the entire area under study [11].…”

Section: Introductionmentioning

confidence: 99%

Redundant node deactivation by scheduling in wireless sensor networks

Vaidehi

Selvan

Jayendran

et al. 2011

2011 International Conference on Recent Trends in Information Technology (ICRTIT)

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The Network lifetime is an important factor in WSN. This paper proposes a hybrid mechanism called "SUBCLUST" that combines clustering and subset formation. It is observed that randomization while dividing the subsets is not an efficient method to improve the lifetime of WSN. Hence in the proposed scheme during subset formation each sensor's coverage area is assumed to overlap with other sensor. The one with the least area of overlapping is added to the subset to which the current sensor belongs. This process continues until all the sensors are allotted to a particular subset. In order to minimize the energy consumption, scheduling is done in such a way that only one subset of nodes which covers the entire network will remain active at a time and making the remaining subset of nodes to get deactivated. Each subset will be activated one after another to ensure that no event is gone unnoticed. The proposed scheme also uses ARN (Active Routing Nodes) for packet forwarding which minimizes handoff while subset switching occurs. The proposed novel hybrid scheme has been validated using simulation studies and it is observed that the proposed scheme gives better performance than the existing work in terms of network lifetime, network coverage intensity, energy utilization and detection probability.

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A Cluster-Based Algorithm for Redundant Nodes Discovery in Dense Sensor Networks

Cited by 6 publications

References 22 publications

Probabilistic Model for Single and Multi-Sensing Intrusion Detection in Wireless Sensor Networks

Probabilistic Model for Single and Multi-Sensing Intrusion Detection in Wireless Sensor Networks

Level Partitioning of Nodes to Enhance the Network Lifetime During Intrusion Detection in Wireless Sensor Networks

Redundant node deactivation by scheduling in wireless sensor networks

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