水声网络中生物友好的网关部署优化

海洋哺乳动物与水声传感器网络共享水声信道，导致网络端到端延时增加，数据包投递率降低.针对这一问题，提出一种生物友好的水声网络多网关部署优化策略.该策略以网关作为网络的数据汇聚中心，用统计学方法确定海洋哺乳动物位置，并根据水声信道模型计算生物干扰半径，从而确定生物-网关干扰区域.以最小化网络端到端平均时延为目标，联合整数线性规划和贪婪-交换启发式算法优化网关部署.仿真结果表明:与随机部署和不考虑生物干扰的网关部署方法相比，采用本文策略使端到端时延降低62%和52%，数据包投递率提高36%和19%.

Environment-Friendly Optimized Gateway Deployment for Underwater Acoustic Sensor Networks

A novel environment-friendly optimized gateway deployment for underwater acoustic sensor networks is proposed to overcome the problem of increased end-to-end delay and decreased packet delivery rate caused by marine mammals sharing the acoustic channel with underwater acoustic sensor networks. Gateways are considered as data centers of underwater acoustic sensor networks and the location of marine mammals is determined with statistical methods. The interference region of mammals-gateway is determined through combining the location with the radius of interference calculated by acoustic channel model. The strategy utilizes integer linear programming and greedy-exchange heuristic algorithm to realize the minimization of the average end-to-end delay. Simulation results and comparisons with the random deployment and the deployment ignoring mammals show that the new proposed gateway deployment strategy decreases the end-to-end delay by 62% and 52% and increases the packet delivery rate by 36% and 19%.