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Orhan Dagdeviren

Researcher at Ege University

Publications -  104
Citations -  855

Orhan Dagdeviren is an academic researcher from Ege University. The author has contributed to research in topics: Wireless sensor network & Distributed algorithm. The author has an hindex of 16, co-authored 97 publications receiving 681 citations. Previous affiliations of Orhan Dagdeviren include İzmir University & İzmir Institute of Technology.

Papers
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Proceedings ArticleDOI

On the IEEE 802.15.4 MAC Layer Attacks: GTS Attack

TL;DR: This paper surveys the known attacks on wireless sensor networks, identifies and investigates a new attack, guaranteed time slot (GTS) attack, taking as a basis the IEEE 802.15.4 MAC protocol for WSN.
Book ChapterDOI

A dominating set based clustering algorithm for mobile ad hoc networks

TL;DR: A new Connected Dominating Set (CDS) based algorithm for clustering in Mobile Ad hoc Networks (MANETs) is proposed and it is shown that it performs better than Wu and Li’s [14] algorithm especially in the case of dense networks.
Book ChapterDOI

A Hierarchical Leader Election Protocol for Mobile Ad Hoc Networks

TL;DR: A hierarchical, cluster based protocol to elect a leader in a mobile ad hoc network is proposed and the Chang Roberts Leader Election Algorithm for rings is employed in the final phase to elect the super-leader among the clusterheads.
Proceedings Article

An Investigation on IEEE 802.15.4 MAC Layer Attacks

TL;DR: This paper dissects the known attacks on wireless sensor networks and identifies two new attacks: PANId conflict attack, and Guaranteed Time Slot (GTS) attack taking as a basis the IEEE 802.15.4 MAC protocol for WSN.
Journal ArticleDOI

A Survey of Agent Technologies for Wireless Sensor Networks

TL;DR: This paper surveys the agent technologies for sensor networks by providing a classification, objectives and costs of these approaches with the open research problems, and is the first study that covers the intersection of the agent technology and sensor networks from a wide perspective.