Maximum Network Throughput Based on Cross-Technology Communication for Sensor Networks

作     者：Demin Gao Zhihao Guan Shuo Zhang Bin Hu Demin Gao;Zhihao Guan;Shuo Zhang;Bin Hu

作者机构：College of Information Science and TechnologyNanjing Forestry UniversityNanjing 210037China Department of Computer Science and EngineeringUniversity of Minnesota55414USA College of Artificial IntelligenceNanjing Agriculture UniversityNanjing 210095China 

出 版 物：《China Communications》 (中国通信（英文版）)

年 卷 期：2021年第18卷第10期

页      面：30-44页

核心收录：

学科分类：080202[工学-机械电子工程] 08[工学] 0802[工学-机械工程] 

基　　金：supported by The Project funded by China Postdoctoral Science Foundation(Grant No.2018T110505,2017M611828) The Priority Academic Program Development(PAPD)of Jiangsu Higher Education Institutions 

主　　题：network throughput cross-technology communication sensor networks 

摘      要：The exponentially increasing number of heterogeneous Internet of Things(Io T)devices(e.g.,Wi Fi and Zig Bee)crowed in the same ISM band(2.4 G)and recent advances in CrossTechnology Communications(CTC)motivate us to explore more efficient data collection and maximize network *** enables Wi Fi and Zig Bee devices to communicate directly without any hardware changes or gateway equipment,which sheds light on a more efficient data collection *** this work,we propose a distributed algorithm,named Max Bee,to compute the maximum network throughput,which is formulated as a linear programming *** that the problem turns out to be non-convex and hard to solve exactly,we propose a distributed algorithm to solve nonlinear programming by using the dual decomposition method and gradient/subgradient *** extensive simulations on different sets of deployed Zig Bee and Wi Fi devices,we observe that the proposed algorithm significantly increases the network throughput based on CTC for Sensor Networks.