Data collection is a fundamental task of WSN. It aims to collect sensor readings in a sensory field through sinks for analysis and processing. Research has shown that sinks deplete most of the battery power for collecting the data than processing it. Nonuniform energy consumption causes degraded network performance and shortens network lifetime. Recently, sink mobility with limited path has been exploited to reduce and balance the energy expenditure among sensors. This paper address this issue

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... nd propose a new data collection scheme, which enhance the Maximum Amount Shortest Path (MASP) for Multiple Mobile Sinks. This scheme increases network throughput and streamlining the energy consumption by optimizing the assignment of sensor nodes to subsinks and subsinks to mobile sinks, using Genetic Algorithm. An existing two-phase communication protocol designed for single mobile sink is enhanced to support multiple mobile sinks. The proposed algorithms and protocols are validated through simulation experiments using NS2.