Research on energy control policy in low-power consumption wireless image sensor networks

Abstract

With its low power consumption characteristics, a new type network named wireless sensor image networks (WISN) combined the traditional wireless sensor networks (WSN) and the latest image sensing technology have been attracting attention. This paper presents a kind of wireless image sensor networks energy optimization methodology which was based on the routing nodes buffer state schedule. According to the running mechanism of routing nodes in wireless sensor networks, when a sensor node transfers data to another node, the energy consumption will happen mainly during transit between the routing nodes, each routing node will analysis and storage the state transition in its buffer, this state transition was usually caused by sending and receiving operation. Also, the node can dynamically adjust their energy consumption count and service values compared to the other nodes, also these nodes can determine itself whether to be a critical path node or not. During the data transmission in the network, the nodes can be scheduled to be used as the routing node with regarding of each energy level, and finally the network can sustain longest.