The Energy Equilibrium Method Of Building Virtual Backbone Wireless Sensor Network Research

Wireless sensor networks (WSNs) technology, as the combination of the next generation internet technology and sensor technology, is one of the core technologies on which the internet of things is based. As an emerging industry, it is also an important developing direction of IT industry. Moreover, WSNs technology integrates network technology, embedded technology and sensor technology, fuses the logic information world and the real physical world together, brings the innovative modes and means of information collection, processing and control, and that it will profoundly change the interactions of people and nature.The normal node in WSNs often has no constant energy supply. To make efficient use of limited energy resources is significant for WSNs, a major way to save limited energy resources is constructing a smaller virtual backbone. In this dissertation, we proposed a Virtual Backbone generation algorithm with Hexagonal Lattice coverage model in WSNs (VBHL algorithm). Comparing with ABP algorithm (Adaptive backbone protocol) that also constructes virtual backbone networks with hexagonal lattice coverage model while choices backbone nodes by delay strategy, VBHL algorithm minimizes the distortion of constructed hexagonal lattice by improving the way of calculating strategic points using1-hop neighbor information. Our simulation results show that VBHL algorithm is more reliable, and has smaller virtual backbone than ABP algorithm. For the same network area, the size of virtual backbone of algorithm VBHL is almost invariant with the different node denisy.However, if keeping the same backbone nodes that consume more energy taking charge of the whole network’s communication, any backbone node exhausts its energy will lead to the end of the network. In this dissertation, we proposed an Energy-efficient Virtual Backbone generation algorithm with Hexagonal Lattice coverage model in WSNs (EVBHL algorithm). It improved the VBHL algorithm by concerning the energy efficiency. To balance the energy consumption of the entire network and prolong network working hours, energy consumption models are designed for nodes with different identities, the backbone is rebuilt periodly. The size of backbone is always similar in the same network area, which is beneficial to the stableness of WSNs.