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And most image compression algorithms in WSN are subject to random image content changes or have low image qualities after the images are decoded. Therefore, an image compression method based on multilayer Restricted Boltzmann Machine (RBM) network is proposed in this paper. The alternative iteration algorithm is also applied in RBM to optimize the training process. The proposed image compression method is compared with a region of interest (ROI) compression method in simulations. Under the same compression ratio, the qualities of reconstructed images are better than that of ROI. When the number of hidden units in top RBM layer is 8, the peak signal-to-noise ratio (PSNR) of the multilayer RBM network compression method is 74.2141, and it is much higher than that of ROI which is 60.2093. The multilayer RBM based image compression method has better compression performance and can effectively reduce the energy consumption during image transmission in WSN. <\/jats:p>","DOI":"10.1155\/2016\/1851829","type":"journal-article","created":{"date-parts":[[2016,3,16]],"date-time":"2016-03-16T21:01:56Z","timestamp":1458162116000},"page":"1851829","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":2,"title":["A Multilayer Improved RBM Network Based Image Compression Method in Wireless Sensor Networks"],"prefix":"10.1177","volume":"12","author":[{"given":"Chunling","family":"Cheng","sequence":"first","affiliation":[{"name":"College of Computer, Nanjing University of Posts and Telecommunications, Nanjing 213001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shu","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Computer, Nanjing University of Posts and Telecommunications, Nanjing 213001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xingguo","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Computer, Nanjing University of Posts and Telecommunications, Nanjing 213001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanying","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Information and Technology, Nanjing College of Forestry Police, Nanjing 210023, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2016,3,16]]},"reference":[{"first-page":"2393","volume-title":"Proceedings of the 28th Annual Conference on Neural Information Processing Systems (NIPS '14)","author":"Sadowski P. 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