Wireless rechargeable sensor nodes can collect additional data, which leads to an increase\nin the precision of data analysis, when enough harvested energy is acquired. However, because\nsuch nodes increase the amount of sensory data, some nodes (especially near the sink) may\nblackout because more transmitted data can make relaying nodes expend more energy. In this\npaper, we propose an energy-aware control scheme of data compression and sensing rate to maximize\nthe amount of data collected at the sink, while minimizing the blackout time. In this scheme,\neach dominant node determines the data quota that all its descendant nodes can transmit during\nthe next period, which operates with an efficient energy allocation scheme. Then, the node receiving\nthe quota selects an appropriate data compression algorithm and sensing rate according to both its\nquota and allocated energy during the next period, so as not to exhaust the energy of nodes near the\nsink. Experimental results verify that the proposed scheme collects more data than other schemes,\nwhile suppressing the blackout of nodes. We also found that it adapts better to changes in node\ndensity and harvesting environments.
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