A rendezvous-based approach enabling energy-efficient sensory data collection with mobile sinks

 
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2012 (EN)
A rendezvous-based approach enabling energy-efficient sensory data collection with mobile sinks (EN)

Γαβαλάς, Δαμιανός (EL)
Κωνσταντόπουλος, Χαράλαμπος (EL)
Μπιτζιόπουλος, Αριστείδης (EL)
Πάντζιου, Γραμματή Ε. (EL)
Μάμαλης, Βασίλης (EL)

Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Πληροφορικής Τ.Ε. (EL)

A large class of Wireless Sensor Networks (WSN) applications involve a set of isolated urban areas (e.g., urban parks or building blocks) covered by sensor nodes (SNs) monitoring environmental parameters. Mobile sinks (MSs) mounted upon urban vehicles with fixed trajectories (e.g., buses) provide the ideal infrastructure to effectively retrieve sensory data from such isolated WSN fields. Existing approaches involve either single-hop transfer of data from SNs that lie within the MS's range or heavy involvement of network periphery nodes in data retrieval, processing, buffering, and delivering tasks. These nodes run the risk of rapid energy exhaustion resulting in loss of network connectivity and decreased network lifetime. Our proposed protocol aims at minimizing the overall network overhead and energy expenditure associated with the multihop data retrieval process while also ensuring balanced energy consumption among SNs and prolonged network lifetime. This is achieved through building cluster structures consisted of member nodes that route their measured data to their assigned cluster head (CH). CHs perform data filtering upon raw data exploiting potential spatial-temporal data redundancy and forward the filtered information to appropriate end nodes with sufficient residual energy, located in proximity to the MS's trajectory. Simulation results confirm the effectiveness of our approach against as well as its performance gain over alternative methods. (EN)

journalArticle

Wireless sensor networks (EN)
ανάκτηση πληροφοριών (EN)
ομαδοποίηση (EN)
information retrieval (EN)
Ασύρματα δίκτυα αισθητήρων (EN)
clustering (EN)

ΤΕΙ Αθήνας (EL)
Technological Educational Institute of Athens (EN)

IEEE Transactions on Parallel and Distributed Systems (EN)

English

2012-05

DOI: 10.1109/TPDS.2011.237

N/A (EN)



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