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It discovers routes between two nodes only when required which reduces the number of control packets.
In this environment, both the user and the data source will be moving, so finding a route from one mobile node to another mobile node is usual necessary before submitting a real-time data. A route is selected based on minimum values of. In DSR, the routes are stored in without any constraint on quality of services. DSR is based on three phases: DSR discovers a route between two nodes, only when required which reduces the number of packets control.
Therefore, the real-time data may miss their deadlines. It verifies the real-time constraint validity otherwise it discards real-time packets missing their deadlines; thus, it reduces network load and energy consumption of intermediate mobile nodes. It indicates that packet delay is sensitive to the communication load. If the new link cost delay is expired, the packet is discarded.
Thus, its global energy consumption remains lower than DSR one. Remember me on this computer. If there are more packets in the queues along the route, the transmission will inevitably suffer a longer delay. The route selection depends to the application requirements and is not fixed as DSR which always selects a route with minimum hops to the destination.
Changing expiration delay for different node densities has not a significant impact on average energy consumption of ED-DSR. They are integrated into the cost function used in route selection phase. To determine a route, QoS routing considers QoS requirements of the traffic flow oeila resources availability, too. So respecting the deadline cannot be guaranteed neither with exhausted energy resources nor with overloaded intermediate mobile nodes.
Also, a route response packet sent back to the source can be used to incorporate real-time and energy constraints. Log In Sign Up. Amit kumar GargSavita Punia.
The ED-DSR packet delivery ratio reflects the packets that have respected their real-time deadline constraint and will be handled in time. The average energy consumption per bit for different traffic load Changing expiration delay for different packet rate has not a significant impact on average energy consumption of ED-DSR. End-to-end packet delay Our proposed protocol selects different routes depending on the cost function, thereby avoiding overloaded intermediate mobile nodes in the network and thus reducing the delay for packets.
ED-DSR calculates the cost of each available route according to bacccouche following equation: NS-2 is an object-oriented, event driven simulator. She is an assistant professor at the National Institute of Applied Science and Technology in Tunisia in the computer science and mathematics department.
The ED- DSR selects the route that avoids overloaded and low power intermediate mobile nodes and reduces the delay for each packet. Furthermore, the route selection is done according to energy consumption and queue load of intermediate nodes, too. We evaluate three metrics, namely, the rate of real-time packets lfila are delivered in-time where the deadline constraint is still respectedthe rate of real-time packets delivered and the average of end-to-end delay.
Each intermediate mobile node verifies if the route response packet RREP respects or not the real-time constraint before reaching the source node.
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Through simulations, we compare our proposed routing protocol with the basic routing protocol Dynamic Source Routing, DSR. The route selection process is adaptive and closely matches the application requirements. Gurpreet KaurPartha Pratim Bhattacharya. They indicate that ED-DSR prolongs network lifetime and achieves lower energy dissipation per bit of data delivery, higher volume of packets delivered and lower end-to-end delay.
The rest of the paper is organized as follows: No warranty is given about the accuracy of the copy. It indicates that packet delay is sensitive to the communication load and is basically dominated by the queue delay.
The delay requirement is not considered to ensure that packets will reach their destinations before the deadlines. Her research interest is related to real-time systems and real-time databases and includes scheduling, quality of service, feedback control and mobile wireless and ad-hoc networks.
Mobile nodes such as PDA or laptops are connected by wireless links.
Prototyping a Design of Agent for Log Harvesting. These QoS parameters are defined as weighting factors according to the application requirements.
We focus especially on real-time applications where a number of them, including defence applications, have to respect time constraint in order to update wounded or positions of soldiers and enemies, get enemy map position or find medical assistance.
Appropriate parameters are needed to capture the unstable system behavior and the limited autonomy. If you have a disability and are having trouble accessing information on this website or need materials in an alternate format, contact web-accessibility cornell. If routes are available, the protocol selects the suitable route according to the rules, which will be presented in next sub-section. The cost function is calculated from the current status information of the intermediate mobile node.
More remaining energy and shorter distance indicate less W. QuekJie Zhang. Bachir ChihaniCollange Denis. MA ; Neural and Evolutionary Computing cs. The selected route should satisfy delay requirements, preserve energy consumption and avoid overloaded intermediate mobile nodes.
As values, we have utilized 1. It implies that the delay is respected when the communication load is low. The route reply returns the discovered route from the destination to the source mobile node.