A Fuzzy Knowledge Based Mechanism for Secure Data Aggregation in Wireless Sensor Networks

Acharya, Sasmita; Tripathy, C. R.

doi:10.1007/978-981-10-3874-7_8

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…By this method, aggregated data alone transmitted to the BS, rather than the generated summation of data from every node. Data aggregation can effectively minimize the communication overhead and the lifetime of WSNs are increased [6,7]. The final decision of every application is determined on the basis of the accuracy result of aggregation and the variation of result gives varied decisions.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Data Aggregation Scheme with Optimal Hop Selection Using Optimized Distributed Voronoi-Based Cooperation with Energy-Aware Dual-Path Geographic Routing Protocol

Sridhar

Pankajavalli

2023

Wireless Pers Commun

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In Wireless Sensor Network (WSN), the consumption of energy is high due to the data transmission in the sensing region. The Optimized Distributed Voronoi-based Collaboration (ODVOC) optimizes data delivery and it suffers from huge energy consumption. To overcome this drawback, a data aggregation scheme is introduced to expand the lifetime of the network and to minimize the energy utilization. Data aggregation is a significant approach that preserves the unwanted usage of energy during data transmission. In this paper, the Optimized Distributed Voronoi-based Cooperation scheme with Energy-aware Dual-path Geographic Routing (DAOHS-ODVOC-EDGR) is proposed which incorporates the polydisperse aggregation scheme and it aggregates the indispensable data in the intermediary nodes. The effective data aggregation is achieved by the estimation of the waiting time of the data at every intermediary node and cost function that is used for electing the next-hop node. In the proposed protocol, the buffer value of every node is divided to retain diversified kinds of flow for effective and fair delivery of data. The rate of transmission at the source and intermediary node is altered during the congestion. The proposed DAOHS-ODVOC-EDGR protocol is tested via simulation scheme. The result of the simulation exposes that DAOHS-ODVOC-EDGR outperforms the TESDA and DVOC protocol in terms of network lifetime, energy efficiency, and hop count delay.

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Section: Introductionmentioning

confidence: 99%

Adaptive Data Aggregation Scheme with Optimal Hop Selection Using Optimized Distributed Voronoi-Based Cooperation with Energy-Aware Dual-Path Geographic Routing Protocol

Sridhar

Pankajavalli

2023

Wireless Pers Commun

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Data Aggregation in Wireless Sensor Networks: From the Perspective of Security

Liu

et al. 2020

IEEE Internet Things J.

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Adaptive Data Aggregation Scheme with Optimal Hop Selection using Optimized Distributed Voronoi-based Cooperation with Energy-aware Dual-path Geographic Routing Protocol

Sridhar

Pankajavalli

2022

Preprint

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In Wireless Sensor Network (WSN), the consumption of energy is high due to the data transmission in the sensing region. The Optimized Distributed Voronoi-based Collaboration (ODVOC) optimizes data delivery and it suffers from huge energy consumption. To overcome this drawback, a data aggregation scheme is introduced to expand the lifetime of the network and to minimize the energy utilization. Data aggregation is a significant approach that preserves the unwanted usage of energy during data transmission. In this paper, the Optimized Distributed Voronoi-based Cooperation scheme with Energy-aware Dual-path Geographic Routing (DAOHS-ODVOC-EDGR) is proposed which incorporates the polydisperse aggregation scheme and it aggregates the indispensable data in the intermediary nodes. The effective data aggregation is achieved by the estimation of the waiting time of the data at every intermediary node and cost function that is used for electing the next-hop node. In the proposed protocol, the buffer value of every node is divided to retain diversified kinds of flow for effective and fair delivery of data. The rate of transmission at the source and intermediary node is altered during the congestion. The proposed DAOHS- ODVOC-EDGR protocol is tested via simulation scheme. The result of the simulation exposes that DAOHS-ODVOC-EDGR outperforms the TESDA and DVOC protocol in terms of network lifetime, energy efficiency, and hop count delay.

show abstract

A Fuzzy Knowledge Based Mechanism for Secure Data Aggregation in Wireless Sensor Networks

Cited by 3 publications

References 7 publications

Adaptive Data Aggregation Scheme with Optimal Hop Selection Using Optimized Distributed Voronoi-Based Cooperation with Energy-Aware Dual-Path Geographic Routing Protocol

Adaptive Data Aggregation Scheme with Optimal Hop Selection Using Optimized Distributed Voronoi-Based Cooperation with Energy-Aware Dual-Path Geographic Routing Protocol

Data Aggregation in Wireless Sensor Networks: From the Perspective of Security

Adaptive Data Aggregation Scheme with Optimal Hop Selection using Optimized Distributed Voronoi-based Cooperation with Energy-aware Dual-path Geographic Routing Protocol

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