In order to reduce the energy consumption of wireless sensor networks
and to meet the specific needs of delay
the front end equalization in multi scene partitions for the WSN receiver wakes up strategy is proposed. Firstly
we constructed thediagram of unit energy consumption and analog front-end sensitivity
got the four characteristic interval
and analysis the characteristic
then all the scene parameters is simplified as a single scene of constant to calculat the balance line for network wake receiver; Secondly
along the balance line
we took the search from the the lower left corner to the upper right corner of the relationship map between energy consumption and analog front end sensitivity in different scene area
and selected the best analog front end operating point
that is
the best to wake up the receiver; Finally
the advantages of the proposed method in energy saving and delay guaranteed are verified by comparing experiments in the simulation examples.
Liu Xuewen, Xiao Song, Quan Lei. Optical SDMA for applying compressive sensing in WSN[J]. Journal of Systems Engineering and Electronics, 2016, 27(4): 780-789. DOI: 780
Padmalaya Nayak, Anurag Devulapalli. A fuzzy logic-based clustering algorithm for wsn to extend the network lifetime[J]. IEEE Sensors Journal, 2016, 16(1): 137-144. DOI: 137
Hong Chao, Xiong Zhongyang, Zhang Yufang. A hybrid beaconless geographic routing for different packets in WSN[J]. Wireless Networks, 2016, 22(4): 1107-1120. DOI: 1107
Yang Hai, Li Wei, Luo Chengming. Fuzzy adaptive kalman filter for indoor mobile target positioning with INS/WSN integrated method[J]. Journal of Central South University, 2015, 22(4): 1324-1333. DOI: 1324
Ahmad El Assaf, Slim Zaidi, Sofiène Affes, et al. Robust ANNs-based WSN localization in the presence of anisotropic signal attenuation[J]. IEEE Wireless Communications Letters, 2016, 5(5): 504-507. DOI: 504