Optimal relay placement for lifetime maximization in wireless underground sensor networks
Optimal relay placement for lifetime maximization in wireless underground sensor networks
复制标题
无线地下传感器网络使用寿命最大化的最佳继电器布局
DOI：
10.1016/j.ins.2017.08.018
复制
发表时间：
2017-12-01
影响因子：
8.1
通讯作者：
Yao, Xin
中科院分区：
文献类型：
--
作者：
Yuan, Bo;Chen, Huanhuan;Yao, Xin
由于地下信道的高损耗和埋在地下的传感器节点（SNs）充电的困难，节能是设计无线地下传感器网络（WUSNs）的主要目标。一种有前途的方法来延长WUSN的寿命是部署地上中继节点（RN）来中继流量。然而，存在着若干挑战。首先，RN的候选位置受到陆地环境的影响。第二，由于多介质传播，信号衰减是复杂的。第三，最优布局问题必须在三维空间中考虑。最后，需要RN之间的负载平衡，以确保单个节点不会过载或耗尽。在本文中，RN放置问题WUSNs建模和制定的第一次，目标是部署有限数量的RN，以最大限度地提高WUSNs的生命周期的系统约束下，如位置，负载平衡，网络拓扑结构，和一个实用的信道模型。通过引入一个额外的决策向量，将原约束转化为线性约束，从而对问题进行了重新表述，并提出了一种两阶段求解方法。进行了大量的模拟，以评估所提出的方法的性能。(C)2017爱思唯尔公司All rights reserved.
Because of highly lossy underground channels and the difficulty in recharging the buried sensor nodes (SNs), power conservation is a primary objective in the design of wireless underground sensor networks (WUSNs). One promising approach to prolonging the lifetimes of WUSNs is to deploy aboveground relay nodes (RNs) to relay the traffic. However, there are several challenges. First, the candidate locations of RNs are affected by the terrestrial environment. Second, signal attenuation is complex because of the multimedium propagation. Third, the optimal placement problem has to be considered in a three-dimensional space. Finally, load balancing among RNs is required to ensure that there is no overloading or exhausting of a single node. In this paper, the RN placement problem in WUSNs is modeled and formulated for the first time; the goal is to deploy a limited number of RNs to maximize the lifetimes of WUSNs under system constraints, such as locations, load balancing, network topology, and a practical channel model. Furthermore, the problem is reformulated by introducing an extra decision vector to transform the original constraints into linear constraints, and then, a two-phase method is presented to solve the problem efficiently. Extensive simulations are carried out to evaluate the performance of the proposed method. (C) 2017 Elsevier Inc. All rights reserved.