Energy-Efficient Unequal Chain Length Clustering for Wireless Sensor Networks in Smart Cities

المؤلفون المشاركون

Baniata, Mohammad
Hong, Jiman

المصدر

Wireless Communications and Mobile Computing

العدد

المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-12، 12ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2017-09-07

دولة النشر

مصر

عدد الصفحات

12

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الملخص EN

The recent advances in sensing and communication technologies such as wireless sensor networks (WSN) have enabled low-priced distributed monitoring systems that are the foundation of smart cities.

These advances are also helping to monitor smart cities and making our living environments workable.

However, sensor nodes are constrained in energy supply if they have no constant power supply.

Moreover, communication links can be easily failed because of unequal node energy depletion.

The energy constraints and link failures affect the performance and quality of the sensor network.

Therefore, designing a routing protocol that minimizes energy consumption and maximizes the network lifetime should be considered in the design of the routing protocol for WSN.

In this paper, we propose an Energy-Efficient Unequal Chain Length Clustering (EEUCLC) protocol which has a suboptimal multihop routing algorithm to reduce the burden on the cluster head and a probability-based cluster head selection algorithm to prolong the network lifetime.

Simulation results show that the EEUCLC mechanism enhanced the energy balance and prolonged the network lifetime compared to other related protocols.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Baniata, Mohammad& Hong, Jiman. 2017. Energy-Efficient Unequal Chain Length Clustering for Wireless Sensor Networks in Smart Cities. Wireless Communications and Mobile Computing،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1206001

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Baniata, Mohammad& Hong, Jiman. Energy-Efficient Unequal Chain Length Clustering for Wireless Sensor Networks in Smart Cities. Wireless Communications and Mobile Computing No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1206001

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Baniata, Mohammad& Hong, Jiman. Energy-Efficient Unequal Chain Length Clustering for Wireless Sensor Networks in Smart Cities. Wireless Communications and Mobile Computing. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1206001

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1206001