A Node Selection Paradigm for Crowdsourcing Service Based on Region Feature in Crowd Sensing

Algorithm 2

Score the regions based on labor costs.

Input: Task-featured Region Dataset , and Location of the specific task

Output: Scores of labor cost of each region

1:create a distance vector

2:for each   do

3:while not all nodes in have been visited do

4:select one unvisited node from

5:set it as visited

6:calculate Manhattan distance from this node to

7:save the calculating result in with the corresponding node identified number

8:end while

9:end for

10:for each   do

11:compare the value of with other elements in the vector and rank

12:end for

13:Based on the order in , score each region with a rule that a shorter calculated distance can have a higher score