The Energy Efficiency And Scheduling Algorithm Research On Wireless Body Area Network(WBAN)

Like WSN network, wireless body area network(WBAN) aim to data acquisition, which adopt simple or multi-hop star topology. In the network, internal common WSN node are used to data collection and the communication with CPN(central processing node),which is responsible for the management of internal nodes of WBAN and the communication with other external networks. The WSN nodes in WBAN are usually distributed on the body surface, even in the human body.Limited to the energy storage of WSN nodes and the characteristic of no-charging, when energy of node is exhausted, replace the node is difficult or even impossible.This requires a node to use the energy more effective, so the study of the energy efficiency of WBAN is very important.In addition, when multiple WBAN network coexistence, CPNs communicate with external networks are likely to exist mutual interference,which will lead to the data retransmission in WBAN, and the energy waste, the scheduling problem between the WBANs also needs to solve.The study of WBAN network energy consumption has achieved some results, the majority work is optimize the MAC layer protocol.In order to improve the energy efficiency of nodes and network’s data rate, reduce the network delay, which to achieve the objective of extending the life cycle ot WBAN.But the related research also has shortcomings.Based on the energy efficiency WBAN and multiple WBAN between the scheduling problem of related research, mainly includes two aspects:1. Specific to the MAC layer in WBANs, Based on TDMA mode,this paper optimized the IEEE802.15.6 standard MAC protocol.Besides,super frame structure of MAC internal number of time slot allocation and the sequence of allocation is studied;In addition,according to the different function and type of WSN nodes,a typical calculation method which is used to allocate the slots’ number and sequence inside a super frame is submitted in consideration of WBAN’s heterogeneity. By means of setting different priorities for WSN nodes, the utilization efficiency of network channel.The experimental results show that the optimized MAC protocol has greatly improved compared to the original performance,which is more suitable for the current WBAN’s requirements for low power consumption.2. In this paper,to solve the scheduling problem between WBANs, a scheduling algorithm based on CPN(Central Processing Node) is proposed.The interference between multiple WBANs can be modelled into 2-d undirected graph in which the vertices represent the current CPN of WBAN and the undirected edges represent the interference between WBANs.Considering the WBAN nodes’ energy storage characteristics, we adopt the intelligent search algorithm which used to solving simple graph-coloring problems.Considering the characteristics of the traditional genetic algorithm and simulated annealing algorithm, a heuristic hybrid genetic simulated annealing algorithm, experimental results show that the algorithm has good performance to solve this scheduling problems.