A Research on Delay Time of the Message in Mobile Crowd Sensing

Yıl 2020, , 393 - 400, 15.05.2020

Metin Bilgin

https://doi.org/10.21205/deufmd.2020226508

Cited By: 1

Öz

The
ubiquity of smart devices such as smartphones and wearables along with human
mobility enabled collecting useful information at a larger scale through mobile
crowd-sensing (MCS). The availability of several onboard sensors and wireless
communication capabilities on such devices not only provides a means to monitor
environmental conditions but also offers intermittent connectivity to otherwise
unconnected nodes by leveraging mobility and data caching. Despite the
availability of unprecedented opportunities, MCS also poses several challenges
that need to be tackled such as sparsity and scarcity of the collected data. If
the collected data is sparse, some of the regions in the data collection area
may not be covered. On the other hand, if the data is scarce, it will be more
difficult to validate the collected data considering malicious participants
which may alter the data intentionally or friendly participants which may send
inaccurate data due to uncalibrated sensors. In this paper, we present the
results which the delay time of the message from connected nodes to base node
for three random mobility entity models. 

Anahtar Kelimeler

Mobile Crowd Sensing, Mobile Random Entity Model, Random Walk, Random Direction, Random Waypoint, Message Delay, Mobile Data Collectors

Mobil Kitle Algılamada Mesaj Gecikme Zamanı Üzerine Bir Araştırma

Öz

Akıllı telefonlar ve giyilebilir cihazlar gibi akıllı cihazların yaygınlığı, insan hareketliliğinin yanı sıra, mobil kitle algılaması (MKA) aracılığıyla daha geniş bir ölçekte faydalı bilgilerin toplanmasını sağlamıştır. Yerleşik sensörlerin ve bu tür cihazlarda kablosuz iletişim yeteneklerinin mevcudiyeti, yalnızca çevresel koşulları izlemek için bir araç sağlamakla kalmaz, aynı zamanda mobilite ve veriyi önbelleğe almayı kaldırarak başka bir şekilde bağlı olmayan düğümlere aralıklı bağlantı sunar. Eşi görülmemiş fırsatların mevcut olmasına rağmen, MKA ayrıca toplanan verilerin azlığı gibi ele alınması gereken çeşitli zorluklar da ortaya koymaktadır. Toplanan veriler seyrekse, veri toplama alanındaki bazı bölgeler ele alınmayabilir. Öte yandan, eğer veri azsa, kasıtlı olarak verileri değiştirebilecek kötü niyetli katılımcıları veya kalibre edilmemiş sensörler nedeniyle yanlış veri gönderebilecek dostu katılımcıları dikkate alarak toplanan verileri doğrulamak daha zor olacaktır. Bu çalışmada, üç rastgele mobilite varlık modeli için mesajın bağlı düğümlerden baz düğüme geçme gecikmeleri araştırılmıştır.

Anahtar Kelimeler

Mobil Kitle Algılama, Mobil Rastgele Varlık Modeli, Rastgele Yürüyüş, Rastgele Yol, Rastgele Yön

Kaynakça

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