Wireless visual sensor networks for smart city applications: A relevance-based approach for multiple sinks mobility

• Type: Article in International Scientific Journal
• Date: 2017

Authors

Peixoto, JPJ (Author) Other; Costa, DG (Author) Other

Journal

Title: Future Generation Computer Systems

Vol. 76

Pages: 51-62

ISSN: 0167-739X

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 42 Citations

Scopus - 47 Citations

Other information

Authenticus ID: P-00W-KRG

DOI: 10.1016/j.future.2017.05.027

Abstract (EN): Nowadays, the major cities of the world have to solve problems that were unthinkable in past decades. Due to the population growing rate, new issues are still arising, but technology can be used to address such issues and improve life quality in big cities. In that scenario, surveillance is a highly desired service and most governments are already using different types of devices to provide high levels of security. Wireless Visual Sensor Networks (WVSN) can be used to monitor every part of a city without the cost of running cables all over it. However, there must be an efficient way to gather all information collected by the sensors and cameras, with reduced energy consumption and average latency. This work proposes a new algorithm to position multiple mobile sinks in WVSN deployed along roads and streets. A relevance-based approach was designed to position sinks closer to source nodes with higher sensing relevance, since they are expected to transmit more data packets. The proposed algorithm can detect forbidden and disconnected zones, making sure sinks will be positioned in permitted areas, which makes this approach very suitable for realistic smart city applications.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 12