对以下段落进行润色：As can be seen from Table 1 we analyze and summarize the existing methods from five perspectives a whether it is an online or offline allocation algorithm; b random arrival and departure of

As shown in Table 1, we analyze and summarize the existing methods based on five perspectives. Firstly, we distinguish between online and offline allocation algorithms. Secondly, the random arrival and departure of users from the system is a key factor in differentiating between online and offline task assignments. Thirdly, considering the task deadline is important as it ensures that users can arrive at the task destination and upload sensory data before the deadline. Neglecting this factor may result in ineffective task assignments and reduced sensing user productivity. Fourthly, it is worth noting that many current works overlook the user's continuous sensing time and assume that the sensing user completes the task when passing by the task destination. However, this assumption lacks rigor and fails to consider the impact of sustained sensing time on the quality of the completed sensing task. For instance, if a sensing user spends only a short amount of time on sensing, the quality of the uploaded sensing data may be questionable. Lastly, some studies now incorporate user preferences into the task assignment process