Dynamic self-management model for clustering Wireless Sensor Network based on mobile agent

A management scheme plays an important role in Wireless Sensor Network (WSN). The nodes of WSN usually are deployed in a remote inhospitable area for a surveillance application, and the topology of WSN is dynamic. The scheme selecting the traditional operator-intensive network management to manage WSN results in low efficiency and high proneness to error. According to those characteristics of WSN, this paper proposes a new dynamic self-management model for wireless sensor networks based on mobile agent (MA). After that, we show how it works in two aspects: Automatic Initialization and Dynamic Self-management.