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Title |
Optimized Route-Discovery and Mobility-Aware Model: Guaranteeing Quality of Service Routing for Wireless Sensor Networks |
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Author |
Adwan Alownie Alanazi |
| Citation |
Vol. 20 No. 2 pp. 57-69 |
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Abstract |
Wireless Sensor Networks (WSNs) are the collection of sensor nodes founding the momentary network without the support of any orthodox centralized administration or infrastructure. In such a situation, it is mandatory for each sensor node to get support of another sensor nodes for advancing the packets to its desired destination node, particularly to the sink node or base station. Handling this situation, several quality of service (QoS) routing strategies have been introduced and focusing on the improvement of throughput and end-to-end delays in wireless sensor networks (WSNs). In such networks, data traffic can be poised into reliability-demanding data packets and time-sensitive data packets. In such situations, energy efficiency, node optimization, mobility of base station and load-balancing are of high significance. Thus, the trade-off in this paper is between network lifetime and ensuring the QoS provisioning. This paper introduces optimized route-discovery and mobility-aware (ORM) model, which improves the QoS provisioning and prolonging the network lifetime. The ORM model involves the seven components buffer allocation, distance measurement, signal to noise ratio, bandwidth management, residual energy and optimal path, received-signal strength indicator (RSSI), and moving base station. The goal of these components in ORM is to determine the next node with optimized resources, protecting the data loss, avoiding the congestion caused by buffer-overflow, identifying the node distance prior to route discovery that helps determine the location and distance when node is either movable or immobile. Furthermore, extending the network lifetime, load-balancing algorithm is introduced, which determines the optimized and braided paths. These paths avoid bottleneck and improves the in-order packet delivery, throughput, end-to-end delay, and prolongs the network life time. To demonstrate the strength of the proposed approach, simulation is conducted using network simulator-2 (NS2) for validity of the work. . The performance of our model is compared to other QoS routing protocols. Simulation result demonstrates that our model surpasses the other routing QoS routing protocols in static and mobility scenarios. |
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Keywords |
Wireless sensor networks, Quality of service, Routing, optimized path, braided paths, mobility. |
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