Journal of Sensors / 2017 / Article / Tab 3 / Review Article
Sequential Monte Carlo Localization Methods in Mobile Wireless Sensor Networks: A Review Table 3 SMC localization scheme classification.
Studies Filtration method Sample method Sample area shape Generation type Number of samples Dependent on anchor nodes Accuracy Computation cost Communication cost Network type MCL Distance Circle intersection Irregular Random Constant Full Low High Low Mobile Dual MCL Distance Circle intersection Irregular Random Constant Full Low High Low Mobile MCB Bounded box Bounded box Regular Random Constant Full Low Medium Low Mobile Closeness Circle intersection Irregular Random Constant Partial High High High Mobile/static LCC Closeness Circle intersection Irregular Random Constant Partial High High Medium Mobile/static WMCL Bounded box Bounded box Regular Random Constant Partial High Low Medium Mobile/static COMCL Bounded box Bounded box Regular Random Constant Partial High Low High Mobile RMCB Bounded box Bounded box Regular Random Constant Partial High Low Medium Mobile/static IMCL Distance Circle sector Irregular Random Dynamic Partial High Medium Medium Mobile Orbit Bounded box Star graph structure Regular Regular grid Constant Partial High High High Mobile HMCL Bounded box Virtual anchor node Regular Random Constant Full Medium Medium Low Mobile PMCB Bounded box Time series/bounded box Regular Random Dynamic Full Medium Medium Low Mobile MCBBR RSSI/bounded box Genetic algorithm Regular Random Dynamic Full Low Medium Low Mobile SAMCL Bounded box Bin counter Regular Sequential Dynamic Full Low Medium Low Mobile USML Maximum location error Uniform distribution (small squares) Regular Sequential Constant Partial Medium High High Mobile [34 ] Convex polygon Range geometry Irregular Random Constant Full Low High High Mobile GWMCL Genetic algorithm Virtual anchor node weight Irregular Crossover operator Constant Full Low High High Mobile MA-MCL Arrivers and leavers (single anchor node) Square with constant length Irregular Random Constant Full (single anchor node) High Low High Static/mobile [35 ] Single anchor movement direction Critical region Irregular Random Constant Full (single anchor node) High Low High Static/mobile NMCT Triangular area Circle radius Regular Random Constant Full Low High High Static/mobile OTMCL Orientation variance Sampling sector Irregular Random Constant Full Low High High Mobile BD MCL Detection time Binary detection Irregular Random Constant Full Low Medium High Mobile [36 ] A posteriori density Distribution regions Linear prediction method Irregular Random Constant Full Low High High Mobile
Computation cost: high, requiring 1000 times to generate sample like MCL; medium, requiring 100 times like MCB; and low, less than 100 times like WMCL. Communication cost: high, broadcasting all samples of anchor and normal nodes; medium, broadcasting all anchor node samples and limited number of normal nodes samples. Accuracy: the results of real experiment in WMCL and RMCB are used as benchmark.