Comparison of Residual Energy-Based Clustering Algorithms for Wireless Sensor Network

Tripathy, Asis Kumar; Chinara, Suchismita

doi:10.5402/2012/375026

Cited by 24 publications

(10 citation statements)

References 32 publications

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“…In [17] they proposed one more algorithm by name Least-Movement Topology Repair (LeMoToR) to restore the lost connectivity in WSANs with least movement of the nodes. Works of [18] proposed a simple Hybrid Connectivity Restoration (HCR) in WSANs that combines proactive selection as well as reactive motion. The actor choses a node for backup using its one-hop neighbour table and notifies the backup node in order to administer its stage.…”

Section: Connectivity Restoration In Case Of Node Failurementioning

confidence: 99%

Wireless Sensor and Actuator Networks (WSANs): Insights and Scope of Research

Janardhan*¹,

Nandhini²

2019

IJITEE

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Recent years are witnessing the growth of different kinds of networks including Wireless Sensor and Actuator Networks (WSANs). WSANs are self-configured and ad-hoc natured networks without any permanent infrastructure that consists of numerous sensor nodes and few actuator nodes that can collaboratively monitor the characteristics of physical and environmental conditions like vibration, sound, temperature, pressure, motion or pollutants, and determine an appropriate action to take depending upon the sensed data, thereby changing the state of the field of interest by performing the suitable action in it. We can say it as an advancement of Wireless Sensor Networks (WSNs) with the inclusion of actuating component. Along with the existing research challenges of WSNs, the WSANs have many additional research challenges to be addressed. This paper gives an insight into the scope of ongoing and future research in the aspect of preserving temporal relationship among the events, restoring the connectivity in case of node failures, need for QoS parameters, along with several operational details of WSANs.

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Section: Connectivity Restoration In Case Of Node Failurementioning

confidence: 99%

Wireless Sensor and Actuator Networks (WSANs): Insights and Scope of Research

Janardhan*¹,

Nandhini²

2019

IJITEE

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“…The CH can send the data directly to the sink or through intermediate CHs (multi-hop), which depend on the architecture of the WSN. According to the authors in [11] the multi-hop approach is more energy efficient than the direct approach. Unfortunately, the transmission load on the CHs is significantly increased in multi-hop approach because in addition to serving as a local sink, they need to serve as a  A comparison of application-specific relay selection.…”

Section: Introductionmentioning

confidence: 99%

A Load-Balanced Clustering Algorithm Using Fuzzy Logic for Maximizing Lifetime of Wireless Sensor Networks

Adhikary

Mallick²

2016

AUSMT

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Abstract:In wireless sensor networks (WSN), clustering has been shown to effectively prolong network lifetime, and unequal clustering, which is an extension to traditional clustering, has demonstrated even better results. In unequal clustering, each individual cluster has a different cluster range. To date, clustering range calculations has been performed based on node positions in the network. However, node fitness is an important parameter. If assigned a larger cluster range, nodes with low fitness can create inconsistencies within the network. Moreover, these methods fail to incorporate uncertainties in parametric quantities encountered during cluster head (CH) selection and cluster range assignment. Therefore, we propose a fuzzy logic based chance calculation that handles uncertainties in parametric quantities. The calculated chance value is applied for the selection of CHs and the chance value, is used along with node position to assign a proper cluster range. Compared with some well known approaches shows that the proposed approach creates more balanced clusters, consequently extending network lifetime.

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“…Earlier several centralized and distributed scheduling algorithms are proposed for data aggregation in USN [2,3,5,6,8,9,12,[20][21][22][23][24]. In [4,33] we presented a novel distributed data aggregation scheduling protocol using a power control collision-interference-free model, which is adaptive to the rate and power control.…”

Section: Introductionmentioning

confidence: 99%