Modern sensor networks often consist of larger numbers of mobile sensor nodes. In such sensor networks, multiple sensor nodes can measure common targets. If they measure their targets simultaneously, the impact of measurement errors can be reduced. Alternatively, if they perform their measurements at the same frequency while offsetting their measurement timings, temporal resolution can be enhanced. However, since a sensor network composed of mobile sensor nodes changes its topology dynamically, it becomes difficult to coordinate their measurement timing. In this work, we propose bio-inspired algorithms for the coordination of the measurement timing: synchronization, where both the periods and phases of sensor nodes are synchronized, and desynchronization, where their periods are synchronized but their phases are evenly offset. We evaluate our proposed synchronization method for these algorithms through a simulation.