Investigation of energy efficient traffic adaptive MAC layer protocols for multi-hop Ad-Hoc networks

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Tezin Türü: Yüksek Lisans

Tezin Yürütüldüğü Kurum: Orta Doğu Teknik Üniversitesi, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü, Türkiye

Tezin Onay Tarihi: 2017

Öğrenci: MURAT SENEM

Danışman: BUYURMAN BAYKAL

Özet:

Multi Hop Ad-Hoc Networks typically refer to interconnected sensing devices with limited processing, communication, and power capabilities. Self-organization, reliability, and energy efficiency are important issues in these networks. Energy efficient, traffic adaptive, multi-channel, and schedule based MAC Layer protocols have been studied for ad-hoc networks in this thesis. Medium sharing problem is one of the most important topic for multi hop ad-hoc networks, especially under intensive data traffic. In recent years, traffic adaptive MAC Layer protocols are becoming more popular in these networks to solve the heavy data traffic scenarios problems. Traffic adaptive MAC Layer protocols aim low power consumption by arranging nodes’ priorities with respect to nodes’ traffic density. These protocols determine that which node will be transmitter and which node will be receiver and lastly which nodes will be in sleep state. In addition, these protocols should have good solutions for high throughput and low latency while they keep providing low power consumption. Besides, traffic adaptive MAC Layer protocols should handle basic problems of ad-hoc networks such as hidden terminal problem, exposed terminal problem, collisions. Traffic Adaptive Medium Access Protocol (TRAMA), Flow-Aware Medium Access Protocol (FLAMA), and Dynamic Multi-channel Medium Access Protocol (DYNAMMA) are traffic adaptive MAC Layer protocols that have been evaluated in this study. These three protocols had been examined with only grid network topologies in the previous studies. The first aim of this work is to repeat the literature results for these protocols. Then, these protocols have been simulated for vi different scenarios such as random network topologies, different transmission ranges and signal model with shadow fading.