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In this paper, we propose an improved gradient-based micro sensor routing protocol (GMSRP) using a node sleep scheduling mechanism, to save energy for sensor nodes, called the GMSRP-SLE. This algorithm takes into account the characteristic of most applications in WSNs, i.e.,the sensor nodes are deployed randomly with some areas covered by many sensor nodes at same time. During network initialization,...
This paper derives energy-optimal batching periods for asynchronous multistage data processing on sensor nodes in the sense of minimizing energy consumption while meeting end-to-end deadlines. Batching the processing of (sensor) data maximizes processor sleep periods, hence minimizing the wakeup frequency and the corresponding overhead. The algorithm is evaluated on mPlatform, a next-generation heterogeneous...
In cluster-based sensor networks, part of the sensor nodes can be switched into a sleep state in order to conserve energy if their neighbors can provide the same or almost the same sensing coverage. However, as the number of nodes in the sleep state increases, coverage for the cluster is degraded. It is crucial to maintain high coverage of clusters in order to preserve performance. In this paper,...
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