The interval sensor node´s model in wireless sensor network under uncertain environments

The sensor nodes´ sensing models directly determine the energy-efficient coverage of wireless sensor networks. Existing uncertain sensing models are all constructed based on stochastic programming or fuzzy programming. Though they consider some uncertain factors in a real environment, the accurate probability distribution and fuzzy membership function are difficult to know in advance. Moreover, the uncertainties of environmental factors are usually irregular and discontinuous. Considering the simplicity of getting an interval, a novel interval sensing mode integrating with the sensing direction is constructed to reflect the possible influence from environmental factors and avoid the obstacles. Experimental results indicate that three key parameters including sensing radius, reliable sensing radius and detection degree have a direct influence on interval sensing ability. Smaller sensing radius, larger reliable sensing radius or less detection degree makes the uncertainty less. Compared with other sensing models, the interval sensing model is more rational and meets the real situation. Consequently, it is more suitable to apply in various uncertain environments and directional sensors.