Improving network performance in wireless sensor network using self-maintenance clustering model
Other Title(s)
تحسين أداء الشبكة في شبكة الاستشعار اللاسلكية باستخدام نموذج تجميع ذاتي الصيانة
Joint Authors
al-Sayyid, Wala Muhammad
Sabh, Sahar Fawzi
Riyad, Ala Muhammad
Source
Scientific Journal of King Faisal University : Basic and Applied Sciences
Issue
Vol. 19, Issue 1 (30 Jun. 2018), pp.21-37, 17 p.
Publisher
Publication Date
2018-06-30
Country of Publication
Saudi Arabia
No. of Pages
17
Main Subjects
Information Technology and Computer Science
Abstract EN
In Wireless Sensor Networks (WSNs), fault tolerance of a sensor node is a demanding issue since sensors are usually deployed in unattended environments.
Limited memory, processing power, and communication range of sensor nodes make conventional fault tolerance schemes infeasible for WSNs.
This work introduces a distributed self-healing methodology in which the detection, diagnosis and healing processes were performed at both node and cluster head levels.
At node level, battery, sensor and receiver faults were diagnosed.
At cluster head level, transmitter and mal-functional nodes were detected and recovered.
The simulation results showed that the proposed methodology is precise in locating malfunctioning nodes and fast in finding a cover for such nodes
American Psychological Association (APA)
al-Sayyid, Wala Muhammad& Sabh, Sahar Fawzi& Riyad, Ala Muhammad. 2018. Improving network performance in wireless sensor network using self-maintenance clustering model. Scientific Journal of King Faisal University : Basic and Applied Sciences،Vol. 19, no. 1, pp.21-37.
https://search.emarefa.net/detail/BIM-908330
Modern Language Association (MLA)
al-Sayyid, Wala Muhammad…[et al.]. Improving network performance in wireless sensor network using self-maintenance clustering model. Scientific Journal of King Faisal University : Basic and Applied Sciences Vol. 19, no. 1 (Jun. 2018), pp.21-37.
https://search.emarefa.net/detail/BIM-908330
American Medical Association (AMA)
al-Sayyid, Wala Muhammad& Sabh, Sahar Fawzi& Riyad, Ala Muhammad. Improving network performance in wireless sensor network using self-maintenance clustering model. Scientific Journal of King Faisal University : Basic and Applied Sciences. 2018. Vol. 19, no. 1, pp.21-37.
https://search.emarefa.net/detail/BIM-908330
Data Type
Journal Articles
Language
English
Record ID
BIM-908330