Development of Energy Efficient Clustering Protocol in Wireless Sensor Network Using Neuro-Fuzzy Approach

Algorithm 1

Perceptron learning rule.

 Input

 Initialize or 1.

Output Co = 0 or 1.

 While correct output

  Input .

  Po ← .

 If Not required output

  //Change and

   + Lr (O-Po)

   (O-Po)

 Co ← O.

 Weight change rule:

 If Po = 0, and O = 1, // is not large enough

  Reduce threshold and increase ’s.

 if , O = 0, // output is too large,

    Increase threshold and reduce

 If Po = 1, O = 1, or Po = 0, O = 0,

  no change in weights or thresholds.

Where Co—correct output, Po—Perceptron output, Lr is positive learning rate