| Notations: |
| BS: the base station |
| : the number of static nodes in cluster |
| , : initial energy of cluster members and CH respectively |
| : average remaining energy of members in cluster |
| , : weighting factors of cluster member and CH, satisfying |
| : average remaining energy of cluster |
| : a predefined threshold to determine a cluster will join fusion or not |
| meansBasedClustering(nodes): the clustering algorithm based on -means proposed in this paper |
| FusionSupportDegree(): the chance of a cluster to participate in the final decision-level fusion |
| LocalDecision(): intra-cluster fusion and local decision performed by |
| DecisionLevelFusion(): the process of decision-level fusion conducted by BS |
| Initialization clustering phase: |
| (1) Deploy all the nodes (both the static nodes and mobile nodes) randomly in the sensing filed. |
| (2) For each static node do |
| (3) Send its location to BS via multi-hop routing |
| (4) Vector_staticNodes() ← |
| (5) End for |
| (6) For each mobile node do |
| (7) Send its location to BS via multi-hop routing |
| (8) Vector_mobileNodes() ← |
| (9) End for |
| (10) meansBasedClustering(matrix_nodes); |
| Event detection phase: |
| (1) If an event occurs |
| (2) Then the first node that detect the event sent its location to BS var multi-hop routing |
| (3) For each cluster head |
| |
| (5) End for |
| (6) For each in |
| (7) Send its remaining energy to |
| (8) End for |
| (9) For each |
| (10) , |
| (11) Send to BS |
| (12) End for |
| (13) For each cluster head |
| (14) ← FusionSupportDegree(); |
| (15) If |
| (16) Then |
| (17) ← LocalDecision(); |
| (18) is sent to BS |
| (19) Else |
| (20) turns on sleep mode |
| (21) End If |
| (22) End For |
| (23) ← DecisionLevelFusion(); |
| (24) End If |
| Event alert phase: |
| (1) BS makes the corresponding early warning information according to decision-level fusion result. |
