Research Article
RETRACTED: Energy-Efficient Enhancement for the Prediction-Based Scheduling Algorithm for the Improvement of Network Lifetime in WSNs
Algorithm 1
Trajectory prediction algorithm.
| 1stAlgorithm: -Choosing the most similar segment | | i TY ← TX & Φt ←0 | | ii Calculates the tiniest region RGNX which includes all the positions in TX | | iii for every node nY ∈ N – {nX} do | | iv for (t0 = 0; t0 < t – J +1, t0 = t0 + Δ t) do | | v if lY(t0) in RGNX then | | vi Calculates the tiniest region which includes all the positions in starting with lY(t0) of length J | | vii if RGNX = then | | viii Estimate the Spearman’s Coefficient Φspearman of TX & | | ix if Φspearman > Φt then | | x TY ← and Φt ← Φspearman | | xi end if | | xii end if | | xiii end if | | xiv end for | | xv end for | | xvi Result: and |
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