A Survey on Fundamental of Wireless Sensor Network with Various Issues in Optimization

Wireless Sensor Network (WSN) is becoming the very provocative model to executing the surveillance tasks and monitoring. In spite of that there are many challenges grow increasingly to reduce the packet loss rate, energy depletion in order to enlarge the network lifetime. In this appraisement paper, we can oversee the recently research work and implementation method to make efficient network. Here we analyse the discrete techniques use in multi-objective optimization (MOO). During the last years, the problems arises in the real world optimization and to solve these types of problems, many researchers believe that multi-population techniques are the primarily used solution. It is based on the optimization of nature inspired algorithm. These techniques are one of the solution of multi-objective optimization. Hence, this review paper provide us the summary of all published publish work and future work. Which is depend on the method of multi-population. After the realization of methods used in multi-population based algorithm and significance of these methods. We noticed that this is time to give a summarization of the different published research work, and there are various aspects that used to discussing the future work. Hence, the main motive of this paper is to give a review of all summarize techniques used in the optimization of nature inspiration. Which are based on multi-population methods. The consequence issues in the method of multi-population that will also give a review and see the major application in the field of engineering and science. Basically, the proposed survey paper provide us a brief knowledge of the problems related to the real world optimization and its future work.