Abstract
The diversity of quality-of-service (QoS) necessities of Internet applications prompts several QoS routing techniques which receive different QoS metrics into deliberation. Conversely, merely adjusting existent multi-path routing techniques to maintain several QoS metrics, cannot assurance correctness. To solve this problem, we essentially analyze the Improve the Qos Using Multipath Routing Protocol (IQMRP) for Wireless Multimedia Sensor Network (WMSN) is proposed. Generally, wireless transactions are prone to link losers owing to signal intrusion that result in communication failures as well as packet drop. Thus, concurrent routing beside multi-path will considerably enhance the capability to handle these failures, significantly gaining wireless multimedia application. The multi-path communication assists to offer a great bandwidth necessary through the multimedia transaction among two nodes. Even while a single route would be capable of offering connectivity, hence, the multi-path transmission also serves to balance traffic load that can extend the network lifespan. In this approach, Ant Colony Optimization (ACO) technique to chooses the multi-path using route preference possibility. This route preference possibility is measured based on node residual energy, bandwidth as well as next-hop accessibility. Next route load is equated through an indicator to allocate the data traffic evenly on the connections from sender to recipient. Simulation results illustrate that diminishes both the average delay as well as route load function in the network. • We essentially analyze the Improve the Qos Using Multipath Routing Protocol (IQMRP) for Wireless Multimedia Sensor Network (WMSN) is proposed. • Even while a single route would be capable of offering connectivity, hence, the multi-path transmission also serves to balance traffic load that can extend the network lifespan. In this approach, Ant Colony Optimization (ACO) technique to chooses the multi-path using route preference possibility. • The load on the paths can be equated through determining an indicator via every node to disseminate the data load uniformly from sender to recipient.
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