Wireless sensor network is a new type of wireless network. IEEE 802.15.4 / Zigbee standards with low energy consumption, low speed characteristics has been widely used in wireless sensor network. As the wireless sensor nodes are often set in complex geographical environment and had not continuous power supply, thus saving energy has been one of the main directions of research at home and abroad. Cellular automata are a mimic biological cell reproduction form of dynamical system, with a simple rule to reveal the complex global characteristics. This paper presents a kind of cellular automata and Zigbee based wireless sensor network binding mechanism, so that the wireless node according to the communication state during hibernation and job switching between states in order to achieve the purpose of energy saving. Simulations show that the mechanism can reduce the network energy consumption, improve energy utilization rate, and prolong the survival time of the node.

Machine-to-machine (M2M) communications can be widely used in military probing, disasters monitoring, etc., where have rigorous environment and require reliable communications. In order to provide enough reliability, M2M subnet can be deployed with two inter-backup aggregation points. This paper proposed a novel routing algorithm named Fermat Point based Joint Routing (FPJR) for such dual-aggregation-points inter-backup M2M Communications. Taking nodes on Fermat Points as route anchors, FPJR forms joint routes which can decrease energy cost and improve communication efficiency greatly. Further, considering the probability is quite little that there is exactly a node deployed on an appointed Fermat Point, we proposed a new terminology ‘ -Fermat Region’, which denotes the circle area with the Fermat Point as center and as radius. Based on -Fermat Region and through the FPJR interaction protocol, FPJR can act not only separately but also as the aid of other routing algorithms, without any compatibility problem. The simulation results show that FPJR can greatly decrease packet lost ratio, energy cost and packet delay.