Due to the profits raised due to the exploitation of the sink mobility for enlarging the life span of the network made the WSNs highly recognizable. Various complications and restrictions can be seen in the sensing field during the practical conditions. Hence, all the developers faced a challenge for acquiring the efficient outcome for mobile sink to determine the shortest path which can overcome all the complications and restrictions. The main aim of this paper is to give a clear explanation about the energy-efficient routing strategy on the basis of the cluster-based technique, for sinking the mobiles in the WSNs with complications. In this cluster-based technique, the nodes which are chosen as a cluster heads gather the information from the cluster members then send the information which is being gathered towards the mobile sink. Here, initially the data collection is initiated by the mobile sink through the periodical route from the initial site and at that time collects the information directly from all the cluster heads in a range known as single hop range, and in the end go back towards the initial point. Intended for the mobile sink, this design utilizes a procedure for determining shortest route through which one can avoid the obstacles. The algorithm is existing system algorithm whose name is heuristic tour planning algorithm. Anyhow, because of the complications of the programing issue in WSNs by means of obstacles and vast tour time, the conventional algorithms are bit challenging for solving. For overcoming this issue, the developers projected a strategy known as a visiting center based energy efficient data collection strategy. On the basis of the information and data which is being collected by them, they presented an algorithm. The name of the algorithm is visiting center algorithm. This algorithm is used in mobile sink. This helps in determining the route and path for cluster heads and collecting the information from the cluster heads and stores them safely. The data gathering route is initiated in a periodical way from the beginning stage which is the primary work of the mobile sink node, and at that time the information is collected by it from the VC’s in the single hop range and lastly gets back to the initial stage. The efficiency of this technique can be clearly observed in the simulation results. The software utilized here for making the process of simulation is NS2 software. This software efficiently verifies the efficiency and effectiveness of the technique.
Energy efficient data collection with multiple mobile sink using artificial bee colony algorithm in large-scale WSN
