Abstract

AbstractWhile considering the routing process in mobile wireless sensor network as the greatest complex task, it would get affected mainly based on mobility behavior of nodes. Successful routing ensures the increased network performance by sending packets without loss. This is confirmed in the previous research work by introducing the QoS-oriented distributed routing protocol (QOD) which measures the load level of channels before data transmission; thus, the successful packet transmission is ensured. However, this research method does not concentration prediction about mobility behavior which would cause the path breakage and network failure. It is completely determined in this proposed method by specifically presenting predictable mobility-based routing scheme (PMRS) in which successful data transmission can be guaranteed by avoiding the path breakage due to mobility. In this work, node movement will be predicted based on node direction and motion angles toward the destination node. By predicting the node mobility in the future, it is concluded that whether the node is nearest to the destination or not. Thus, the better route path can be established for deploying a successful data transmission. Based on node movement, the optimal cluster head would be selected, and thus, the shortest and reliable path can be achieved between source and destination nodes. In this work, cluster head selection is prepared by using the genetic algorithm, which can ensure the nodes reliable transmission without any node failure. Finally, data transmission is done through cluster head node by using time division multiple access (TDMA) method. The overall implementation of the proposed scheme is on the NS2, from which it is shown that this technique provides best possible result than the other recent schemes.KeywordsMobility predictionMobile wireless sensor networkCluster headReliabilityLocation prediction

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