Dense Wireless Sensor Network Clouds have an inherent issue of latency and\npacket drops with regards to data collection. Though there is extensive literature that tries to\naddress these issues through either scheduling, channel contention or a combination of the\ntwo, the problem still largely exists. In this paper, a Clustered Multi-Channel Scheduling\nProtocol (CMSP) is designed that creates a Voronoi partition of a dense network. Each\npartition is assigned a channel, and a scheduling scheme is adopted to collect data within the\nVoronoi partitions. This scheme collects data from the partitions concurrently and then passes\nit to the base station. CMSP is compared using simulation with other multi-channel protocols\nlike Tree-based Multi-Channel, Multi-Channel MAC and Multi-frequency Media Access\nControl for wireless sensor networks. Results indicate CMSP has higher throughput and data\ndelivery ratio at a lower power consumption due to network partitioning and hierarchical\nscheduling that minimizes load on the network.
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