Optimized group owner selection in WiFi direct networks

Device-to-Device communication is an essential component in the evolution towards the Internet of Things. The relatively new WiFi-Direct standard allows devices to communicate directly over the well established IEEE 802.11 protocol without the need for an intermediate access point. The increased ran...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Jahed, K. (author)
مؤلفون آخرون: Farhat, O. (author), Al-Jurdi, G. (author), Sharafeddine, S. (author)
التنسيق: conferenceObject
منشور في: 2016
الموضوعات:
الوصول للمادة أونلاين:http://hdl.handle.net/10725/8151
http://dx.doi.org/10.1109/SOFTCOM.2016.7772169
http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php
https://ieeexplore.ieee.org/abstract/document/7772169/
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الوصف
الملخص:Device-to-Device communication is an essential component in the evolution towards the Internet of Things. The relatively new WiFi-Direct standard allows devices to communicate directly over the well established IEEE 802.11 protocol without the need for an intermediate access point. The increased range and bandwidth advantage of WiFi-Direct over existing short-range technologies such as Bluetooth and Zigbee allows a whole new class of applications to benefit from cooperation. Within a WiFi-Direct network, one device is elected as the group owner and acts as a central hub for all communications. The standard does not dictate a group owner selection strategy and leaves the decision to be taken at the application layer. In this work, we present an optimized strategy for group owner selection within WiFi-Direct networks that aims at maximizing the overall network performance in terms of increased throughput. Moreover, we propose a low complexity multi-device group owner negotiation protocol that runs at the application layer and extends the existing WiFi-Direct protocol, which limits group owner negotiation to two devices only. Simulation results demonstrate the effectiveness of the proposed selection strategy in achieving near-optimum results.