基于节点双向选择的水声传感网络自适应能量优化分配

Hydroacoustic WSN Network Adaptive Optimization of Energy Distribution Based on the Node Two-way Choice

针对水下传感器网络节点能量负载不均衡以及水下节点路径传输损耗过大等问题,为了平衡网络的节点能量分配,提高网络能量的利用效率,提出了一种基于节点双向选择的水声网络自适应能量优化分配算法。基于节点的剩余能量情况提出下一跳候选节点的双向选择方法,防止剩余能量过低的节点在传送数据时由于传输损耗过大而中止,充分考虑节点剩余能量和传输损耗之间的权衡,提出了最优转发节点的竞争公式,再通过比较候选节点的竞争值来选举最佳的下一跳节点。实验仿真表明,自适应能量优化分配算法能够有效地提高水下传感器网络的能量利用效率,并通过与对比算法组的比较证明了算法在能量优化上的有效性。

Aiming at the problems that network node energy load is imbalance and the path transmission loss of underwater node is too heavy in underwater sensor network, a hydroacoustic network adaptive optimization of energy distribution based on the node＇s two-way choice is proposed in order to balance the energy distribution node network and improve the energy efficiency of the network. The method of next hop node＇s two-way choice is proposed based on the residual energy of node. It can prevent the node with less energy left from being disrupted caused by transformation loss when the data are transmitted. It takes a full consideration of the trade-off between nodes remaining energy and transmission loss so as to propose the competition formula of optimal transforming node, and then selects the best next hop node by comparing the competing value of candidate nodes. The simulation results show that adaptive energy optimization allocation algorithm can effectively improve the energy efficiency of underwater sensor networks and prove the effectiveness of the algorithm on energy optimization by comparing with contrast algorithm group.