Research On Topology Construction And Routing Strategy Of WSN For Internet Of Things

As an important part of next generation network, internet of things (IoT) plays a crucialrole in the implementation of cloud computing and pervasive computing. Internet of Things isdesigned to provide convenient services for users so that they could obtain information andcontrol equipments no matter“anywhere, anytime, anything, anyone”. Being responsible forinformation sensing and end-network transmission, wireless sensor networks (WSN) work asa key supporting technology of IoT. WSN consist of massive wireless sensor nodes, all ofwhich have limited energy and communication ability.Many real networks included WSN can be considered as scale-free weighted networkswhich reflect their existing forms and dynamic characteristics. Based on local-world theoryand BBV model, an uneven-clustering weighted method of WSN topology construction isproposed in this paper. The definitions of edge weight and vertex strength take sensor energy,transmission distance and flow into consideration. Vertex strengths drive the growth oftopology, meanwhile edge weights change correspondingly. Experimental data demonstratethat WSN topology we obtain has the property of weighted networks: edge weight, vertexdegree and strength follow a power law distribution. Related research work show thatweighted WSN not only share the robustness and fault tolerance of weight-free networks, butalso reduce the probability that successive node-breakdowns occur, furthermore, enhance thesynchronization of WSN.Due to the limited energy and communication ability of sensor nodes, it seems especiallyimportant to design a routing protocol for WSN so that sensing data can be transmitted to thereceiver effectively. Being different from traditional routing policies among cluster heads, anenergy-balanced routing protocol FAF-EBRP based on forward-aware factor is proposed inthis paper. In FAF-EBRP, the next-hop node is selected according to the awareness of linkweight and forward energy density, furthermore, a spontaneous reconstruction mechanism forlocal topology is designed additionally. In the experiment, FAF-EBRP is compared withLEACH and EEUC by three evaluation indexes, including energy-balanced factor, the numberof surviving nodes and packets reception radio. Experimental results show that FAF-EBRPoutperforms LEACH and EEUC, it balances the energy consumption, prolongs the functionlifetime and guarantees high QoS of WSN.