Skip to main content

Advances, Systems and Applications

Table 2 List of mathematical notations used

From: Development of a cloud-assisted classification technique for the preservation of secure data storage in smart cities

\({f}_{en}\left(t\right)\)

Objective function representing Residual energy

\({f}_{PDR}\left(t\right)\)

Objective function representing PDR

Ni

Ith Node

\({\rho }_{i,j}\)

Pheromone information for the link (i,j)

\({Nei}_{i}\)

Neighbor set for ith Node

q

Number of elements in the cluster produced from k-means algorithm

\(E\left(t\right)\)

Pheromone evaporation coefficient

p

Number of feasible paths from source to destination node

\({Seq}_{s}\)

Set of sequence numbers received at source node

ct

Centroid of the cluster formed using k-means algorithm

k

Number of neighbors

Pr

Number of packets received

\({\tau }_{i,j}\)

Heuristic information for the link (i,j)

\({T}_{p}\)

Predicted time period for sequence numbers

s

Slope of Line of Best Fit

C.E

Energy consumed by the node

\({\rho }_{i,{j}_{k}}\left(t\right)\)

Pheromone level

R.E

Residual/Remaining

c

Number of partitions required from k-means clustering

Pd

Number of packets dropped