Real-Time Data Recovery in Wireless Sensor Networks Using Spatiotemporal Correlation Based on Sparse Representation

<p>CDF of normalized <svg height="14.2693pt" id="M56" style="vertical-align:-5.529pt" version="1.1" viewbox="-0.0498162 -8.7403 15.6938 14.2693" width="15.6938pt" xmlns="http://www.w3.org/2000/svg"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M702 650H468V614C550 604 550 590 527 521C500 434 457 318 402 172H399C363 266 284 469 255 549C240 592 240 603 313 614V650H15V614C77 608 93 594 124 517C165 413 259 172 327 -11H377C455 195 546 422 579 500C619 595 637 607 702 614V650Z"></path></g><g transform="matrix(.0091,0,0,-0.0091,9.243,3.132)"><path d="M250 606C250 634 233 656 203 656C168 656 146 618 146 593C146 564 169 545 192 545C227 545 250 573 250 606ZM227 95L212 119C187 98 152 71 135 71C129 71 128 78 134 102L207 373C219 418 217 451 194 451C165 451 92 411 30 351L44 326C77 353 106 371 114 371C124 371 121 357 117 341L55 97C32 5 46 -12 70 -12C108 -12 191 51 227 95Z"></path></g><g transform="matrix(.0091,0,0,-0.0091,11.124,3.132)"><path d="M400 606C400 634 383 656 353 656C316 656 294 620 294 593C294 564 317 545 343 545C375 545 400 573 400 606ZM366 351C379 413 381 451 356 451C323 451 251 408 183 341L199 313C223 335 267 365 277 365C285 365 284 354 277 312C245 132 222 27 193 -100C182 -148 160 -188 131 -188C113 -188 90 -178 75 -170C64 -164 55 -168 48 -175C38 -185 24 -203 24 -222S48 -257 71 -257C89 -257 131 -241 186 -192C243 -141 286 -46 310 74L366 351Z"></path></g></svg> in the environmental matrix.</p>

Wireless Communications and Mobile Computing

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Figure 2

Figure 2: Real-Time Data Recovery in Wireless Sensor Networks Using Spatiotemporal Correlation Based on Sparse Representation 