A Shuffled Leaping-Based Data-Gathering Algorithm for Industrial WSNs with a Mobile Sink

Abstract: Wireless Sensor Networks (WSNs) is generally applied in various industrial applications, which involve gathering a huge amount of heterogeneous sensory data. The various data gathering techniques for WSNs cannot avoid the data loss problem in local or whole distribution area. Network loss problem affects the network connectivity and decreases the network lifetime. Hence, we propose a shuffled leaping algorithm data-gathering algorithm (SLA) for WSNs with a mobile sink. A novel Density based cluster formation method is introduced. The cluster head nodes of the constructed our Proposed algorithm balance the load of the whole network, reduce the energy consumption, solve the network loss problem, and increase the network lifetime.

Keywords: Data-gathering scheme, cluster, cluster head, mobile sink, wireless sensor networks.