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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 4/2014

01.04.2014

Two Tier Cluster Based Data Aggregation (TTCDA) for Efficient Bandwidth Utilization in Wireless Sensor Network

verfasst von: Dnyaneshwar Mantri, Neeli Rashmi Prasad, Ramjee Prasad

Erschienen in: Wireless Personal Communications | Ausgabe 4/2014

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Abstract

Wireless Sensor Networks are often used for monitoring and control applications where sensor nodes collect data and send it to the sink. Direct transmission of data packets to the sink from nodes in the network causes increased communication costs in terms of energy, network lifetime and bandwidth utilization. In this context, this paper proposes Two Tier Cluster-based Data Aggregation (TTCDA) algorithm for the randomly distributed nodes in the network to minimize computation and communication cost. The TTCDA effectively considers the packet and data aggregation using additive and divisible aggregation functions at cluster head and sink. The aggregation functions are applied according to spatial and temporal correlation of packets and data generated by each node. It also prevents transmission of redundant data by improving energy consumption and bandwidth utilization as compared with state-of-the-art solution. The performance of the algorithm is validated using examples and simulations. Also, it is seen that packet aggregation in TTCDA is better for the bandwidth utilization as it reduces average energy consumption by 3.13 % as compared to data aggregation.
Vorheriger Artikel Load Distribution in Non-homogeneous Wireless Local Area Networks
Nächster Artikel Modeling and Cost Analysis of an Improved Movement-Based Location Update Scheme in Wireless Communication Networks

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Metadaten
Titel
Two Tier Cluster Based Data Aggregation (TTCDA) for Efficient Bandwidth Utilization in Wireless Sensor Network
verfasst von
Dnyaneshwar Mantri
Neeli Rashmi Prasad
Ramjee Prasad
Publikationsdatum
01.04.2014
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 4/2014
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-013-1489-x

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