End to End Delivery Probability Analysis on Two-hop Heterogeneous UAV Networks for Coastal Monitoring

Authors:Xia Lei, Wang Hai

Abstract


The use of unmanned aerial vehicles (UAVs) is growing rapidly in the maritime domains, especially in applications where environment would be endangered. All these UAVs should be connected in the near future. Because different UAVs platform exhibit different capabilities with different prices, heterogeneity will be the one of the key features of the UAVs networks. In these networks, some high-value platform may contain several radios to ensure the control as well as service transmission, and many other low-quality cheap UAVs with only one radio will be quantitatively applied to cover mission area or achieve certain density to finish the task. As we all know that the UAVs network is changing rapidly, network disjoint and reunion will become a common phenomenon, so store and forward scheme should be used in UAVs networks to enhance end to end data transmission. In heterogeneous network, one question aroused: If we want to forward data to a next UAVs, should we forward the data to the next high-value platform with more powerful transmission devices on board which is scarce and rare, or forward the data to the next low-price power constrained UAVs which is common and highly populated? In this paper, we focus on the delivery performance in a two-hop relay routing heterogeneous UAVs networks. We first give the result of two nodes’ encounter probability. Second, we derive the delivery probability in a heterogeneous direct transmission networks. Third, we model the message spreading process in the two-hop relay routing heterogeneous UAVs using a general finite-state absorbing Markov chain. Based on the framework, we estimated the message delivery probability under any given message lifetime in closed-form expressions. Through simulations, we demonstrate that the theoretical framework can accurately forecast the message delivery probability. Users may choose their relay platforms based on the calculations given in this paper to get optimal end to end delivery ratio. Therefore, UAVs will play a greater role in coastal monitoring.


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