Research Article
A Spatial-Contextual Indoor Trajectory Prediction Approach via Hidden Markov Models
Algorithm 1
Wi-Fi access point grouping algorithm.
input: A linklist storing the access points and similarity threshold | output: A set of groups satisfying the condition with respect to | 1: ; | 2: fordo | 3: if Tlink[i].visit TRUE then | 4: CONTINUE; | 5: else | 6: TLink[i].id = groupNum; | 7: TLink[i].visit = TRUE; | 8: Create a new group | 9: .append(TLink[i]); | 10: end if | 11: for to do | 12: if Tlink[j].visit==TRUE then | 13: CONTINUE; | 14: end if | 15: ifthen | 16: Tlink[j].id = groupNum; | 17: Tlink[j].visit = TRUE; | 18: .append(TLink[j]) | 19: end if | 20: end for | 21: : end for | 23: Return |
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