استفاده از الگوریتم خود سازمان یافته برای حداقل سازی از دست دادن بسته در شبکه های بی سیم
Abstract
I- Introduction
II- Cluster-based Algorithms in Wireless Ad-hoc Networks
III- Routing Algorithms for Wireless AD HOC Network Simulation
IV- EESOA reviewed
V- SIMULATION
References
Abstract
One of the main issues of routing protocols on wireless ad-hoc networks is the energy consumed by the traffic generated in the route discovery and routing table construction and maintenance. To reduce such of amount messages, we propose to use a backbone structure which would control the network traffic flow in an energy-efficient manner. This paper proposes the implementation of the energy-efficient selforganized algorithm (EESOA) as Medium Access Control (MAC) protocol. Also, we extended the algorithm to address network segmentation by handling inter clusters connectivity. EESOA as MAC provide a backbone structure for wireless ad-hoc networks due to their cluster-based capabilities and robustness to topology changes. The encapsulation of EESOA on MAC provides a cross layer solution, agnostic to the routing protocol and wireless technology. To show the performance of this cross-layer solution, an implementation of a wireless ad-hoc network with AODV and EESOA as MAC protocol in the NS3 simulator is used. This simulation allows evaluating the performance of the AODV routing protocol over EESOA as MAC protocol compared against normal Ad-hoc MAC. Therefore, the use of routing protocol over a self-organized algorithm can obtain better results, in packet loss, network connectivity and node reachability.
INTRODUCTION
Wireless networks can be categorized in infrastructure-based and infrastructure-less wireless networks, also called wireless ad-hoc networks. Wireless ad-hoc network consists on two or more wireless devices able to communicate with each other without any centralized administrator. Each node works as both a host and a router although they have less computational capabilities [1]. The network topology is dynamic because the connectivity among nodes vary with time due to node mobility, node departures and new node arrivals [2]. Ad-hoc networks are decentralized, nodes are connected in heterogeneous manner using wireless links [3]. Adhoc network introduces terms such as distributed, resourceconstrained, self-organized and infrastructure-less [4]. Resource constrains distinct ad-hoc networks on hardware and energy limitations when compared with wired networks.