Grid-based sense schedule for event detection in Wireless Sensor Networks

In this paper, we propose a efficient grid-based sense schedule scheme for event detection in Wireless Sensor Networks. The target environment is partitioned into grids and the sensors within each grid elect one representative to carry out the sense task in turn, with low communication overhead, balanced energy consumption and good scalability. It is demonstrated by analysis and simulation that the grid-based sense schedule can achieve energy saving proportional to the node density and guaranty better detection quality than random schedule. The scheme also provides means to balance network lifetime and detection quality by adjusting size of grid and duty time of node.