AN EFFICIENT DELAY AWARE QUALITY RELATION BASED ROUTING TREE ON WIRELESS NETWORK

摘要

Wireless network combine different types of nodes and vector path to perform information processing with active node variance. The wireless node is additionally positioned to carry out routing with multiple base stations, and routing work is taken as an upcoming research work. Many reliable routing approaches are widely used in many resource limited applications, since it improves data delivery rate and reduces the average delay. However, they lack quality of routing and increases the delay time. In this paper, we propose a Menger connectivity graph based on minimum hop, called Delay Aware Quality Relation based Routing Tree (DAQR-RT). DAQR-RT provides the quality routing tree on wireless network. DAQR utilizes the active window conception to record the quality relationship using previous routing data information in wireless network. The previous routing information (i.e., historical information) is designed with the objective of reducing the delayed time rate efficiently in proposed DAQR-RT. Delay Aware Quality Relation constructs the recognized routing tree in wireless network. Besides, Active window conception previous information quality is captured and estimates the before constructing the recognized routing decision tree for effective broadcasting of information. Finally, the quality relationship in DAQR-RT mechanism uses a Menger connectivity graph based on minimum hop count field which resulting in avoids the poor connectivity and reducing the possibility of retransmissions while broadcasting. Simulations results are conducted to measure the efficiency of proposed DAQR-RT in wireless network through data transmission rate, size of the data block, delay rate, throughput and reduces retransmission during broadcasting. In the performance evaluation, we show that the Delay Aware Routing Tree algorithm achieves comparable performance to the state-of-the-art methods. Experimental analysis shows that DAQR-RT is able to reduce the delay time while broadcasting by 25.62% and reduce the retransmission rate by 37.5% compared to the state-of-the-art works.