Dynamic modulation scaling enabled multi-hop topology control for time critical wireless sensor networks

被引:5
|
作者
Gumusalan, Arda [1 ]
Simon, Robert [1 ]
Aydin, Hakan [1 ]
机构
[1] George Mason Univ, Dept Comp Sci, Fairfax, VA 22030 USA
关键词
ENERGY MINIMIZATION; MANAGEMENT; ALGORITHM;
D O I
10.1007/s11276-019-02146-9
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The previous work on connection driven topology control has shown that it has significant potential to reduce energy consumption of Wireless Sensor Networks (WSNs). Dynamic Modulation Scaling (DMS) which is a technique that manages transmission power levels in order to change the number of bits encoded per symbol has a direct impact on connection driven topology control. In this paper we investigate the transmission scheduling of multi-hop real-time WSNs equipped with DMS enabled radio chips while taking the effect of DMS on topology control into account. To our best knowledge, this is the first paper that addresses this issue. The current work on DMS enabled WSN tend to rely on theoretical DMS models to predict network performance metrics. However, there is little, if any, work that is based upon empirically verified network performance outcomes using DMS especially on its effect on connection driven topology control. This paper fills this gap by using GNU Radio and Software Defined Radio hardware to show how to emulate DMS in low power wireless systems and measure the impact of varying Signal-to-Noise levels, distance and elevation on throughput and delivery rates for different DMS control strategies. Next, we present the Mixed Integer Nonlinear Optimization Problem of minimizing energy consumption of DMS enabled connection driven topology control on real-time WSNs. Lastly, we present two polynomial time heuristics and compare their performance against the optimal solution.
引用
收藏
页码:1203 / 1226
页数:24
相关论文
共 50 条
  • [1] Dynamic Control Policy for Delay Guarantees in Multi-hop Wireless Networks
    Thong Huynh
    Ngoc-Thai Pham
    Lee, Suk-Hwan
    Hwang, Won-Joo
    WIRELESS PERSONAL COMMUNICATIONS, 2015, 80 (02) : 647 - 670
  • [2] A Dynamic Clustering and Routing Protocol for Multi-hop Data Collection in Wireless Sensor Networks
    Chen, Liquan
    Xu, Zhezhuang
    Liu, Ting
    Chen, Cailian
    2015 34TH CHINESE CONTROL CONFERENCE (CCC), 2015, : 7811 - 7816
  • [3] Dynamic Multi-hop Clustering in a Wireless Sensor Network: Performance Improvement
    Elhoseny, Mohamed
    Farouk, Ahmed
    Zhou, Nanrun
    Wang, Ming-Ming
    Abdalla, Soliman
    Batle, Josep
    WIRELESS PERSONAL COMMUNICATIONS, 2017, 95 (04) : 3733 - 3753
  • [4] Energy efficient and multi-hop routing for constrained wireless sensor networks
    Krishna, K. Phani Rama
    Thirumuru, Ramakrishna
    SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS, 2023, 38
  • [5] Energy Efficient Topology Control in Multi-hop Wireless Networks based on One-hop and Two-hop Neighbor Information
    Maw, Min Min Thet
    Kunavut, Kunagorn
    2016 13TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER SCIENCE AND SOFTWARE ENGINEERING (JCSSE), 2016, : 223 - 227
  • [6] A PSO-Based Uneven Dynamic Clustering Multi-Hop Routing Protocol for Wireless Sensor Networks
    Ruan, Danwei
    Huang, Jianhua
    SENSORS, 2019, 19 (08):
  • [7] Joint QoS provisioning and congestion control for multi-hop wireless networks
    Chen, Weiqi
    Guan, Quansheng
    Jiang, Shengming
    Guan, Quanxue
    Huang, Tiancheng
    EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2016, : 1 - 11
  • [8] Optimum Multi-Hop Transmission Strategies for Energy Constrained Wireless Sensor Networks
    Wu, Jingxian
    Zheng, Yahong Rosa
    2012 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2012,
  • [9] Flow-balanced routing for multi-hop clustered wireless sensor networks
    Tao, Yaling
    Zhang, Yongbing
    Ji, Yusheng
    AD HOC NETWORKS, 2013, 11 (01) : 541 - 554
  • [10] TDMA-based scheduling for multi-hop wireless sensor networks with 3-egress gateway linear topology
    Linh Vu Nguyen
    Nguyen Viet Ha
    Shibata, Masahiro
    Tsuru, Masato
    INTERNET OF THINGS, 2021, 14