Iterative Sensor Clustering and Mobile Sink Trajectory Optimization for Wireless Sensor Network with Nonuniform Density
المؤلفون المشاركون
Park, Joohan
Kim, Soohyeong
Youn, Jiseung
Ahn, Seyoung
Cho, Sunghyun
المصدر
Wireless Communications and Mobile Computing
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-16، 16ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-10-20
دولة النشر
مصر
عدد الصفحات
16
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Sensor clustering and trajectory optimization are a hot topic for last decade to improve energy efficiency of wireless sensor network (WSN).
Most of existing studies assume that the sensor is uniformly deployed or all regions in the WSN coverage have the same level of interest.
However, even in the same WSN, areas with high probability of disaster will have to form a “hotspot” with more sensors densely placed in order to be sensitive to environmental changes.
The energy hole can be serious if sensor clustering and trajectory optimization are formulated without considering the hotspot.
Therefore, we need to devise a sensor clustering and trajectory optimization algorithm considering the hotspots of WSN.
In this paper, we propose an iterative algorithm to minimize the amount of energy consumed by components of WSN named ISCTO.
The ISCTO algorithm consists of two phases.
The first phase is a sensor clustering phase used to find the suitable number of clusters and cluster headers by considering the density of sensor and residual battery of sensors.
The second phase is a trajectory optimization phase used to formulate suitable trajectory of multiple mobile sinks to minimize the amount of energy consumed by mobile sinks.
The ISCTO algorithm performs two phases repeatedly until the amount of energy consumed by the WSN is not reduced.
In addition, we show the performance of the proposed algorithm in terms of the total amount of energy consumed by sensors and mobile sinks.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Park, Joohan& Kim, Soohyeong& Youn, Jiseung& Ahn, Seyoung& Cho, Sunghyun. 2020. Iterative Sensor Clustering and Mobile Sink Trajectory Optimization for Wireless Sensor Network with Nonuniform Density. Wireless Communications and Mobile Computing،Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1214738
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Park, Joohan…[et al.]. Iterative Sensor Clustering and Mobile Sink Trajectory Optimization for Wireless Sensor Network with Nonuniform Density. Wireless Communications and Mobile Computing No. 2020 (2020), pp.1-16.
https://search.emarefa.net/detail/BIM-1214738
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Park, Joohan& Kim, Soohyeong& Youn, Jiseung& Ahn, Seyoung& Cho, Sunghyun. Iterative Sensor Clustering and Mobile Sink Trajectory Optimization for Wireless Sensor Network with Nonuniform Density. Wireless Communications and Mobile Computing. 2020. Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1214738
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1214738
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر