An Efficient Three-Phase Fuzzy Logic Clone Node Detection Model

Algorithm 1

Phase III of the proposed method FLCND.

	Algorithm: proposed clone node detection algorithm for FLCND
	Phase I and II
(1)	Begin
(2)	for each node n of the network
(3)	n = Encrypt (IDi,Li)//initialize each node with ID and Location
(4)	for each node n of the network
(5)	n[neighbor] = {idj, Lj,Timej }//each node finds its neighbor
(6)	For each node
(7)	Check the response from its neighbor
(8)	if any node does not respond
(9)	Wait for sleep time
(10)	If response does not come
(11)	Wait for Xn time
(12)	If response comes
(13)	Check the clone of
(14)	if clone present
(15)	Send information to BS and initiate the trigger revocation procedure
(16)	else
(17)	Addin the suspected list
(18)	else
(19)	Node will be dead and send information to BS and go to step 6
(20)	else
(21)	go to step 6
	Phase III
(22)	= total suspected nodes
(23)	= alive sensor node in the current round
(24)	for each node
(25)	Cluster head receives message from neighbor of
(26)	and calculate input parameter: , , , //analysis through fuzzy inference system (FIS)
(27)	=
(28)	If
(29)
(30)	Advertise and initiate the trigger revocation procedure
(31)	else
(32)	go to step 24
(33)	End