Stochastic Optimization of Data Access and Hybrid Transmission in Wireless Sensor Network

In recent years, the rapid advancements in Internet of Things boost the utilization of Wireless Sensor Network (WSN). Through WSN, a huge amount of various kinds of data can be acquired from different environments, which further facilitate us to harness the world we live. However, the error-prone and unpredictable natures of wireless links significantly impair the quality of data transmission and the utility of acquired data in WSN. Therefore, to solve this crucial problem, this paper focuses on data access control and hybrid transmission control of WSN. Based on the mathematical models of the two control operations, an intractable optimization problem is first formulated with numerous considerations, including data utility, energy consumption, network stability and data loss rate. Because of the complexity and intractability of the originally formulated problem, a Lyapunov function-based network optimization theory is utilized to transform and decompose it into three relatively simple subproblems. Stochastic Data Scheduling Mechanism (SDSM) is designed based on the solutions to the three subproblmes. The optimality and implementation of SDSM are also analyzed. Finally, the performance of SDSM is demonstrated through extensive evaluations.

[1]  Jibi Abraham,et al.  Design of efficient communication algorithms for hotspot detection in data centers using Wireless Sensor Networks , 2016, 2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET).

[2]  Tuong Ly Le,et al.  Lossless Data Compression Algorithm to Save Energy in Wireless Sensor Network , 2018, 2018 4th International Conference on Green Technology and Sustainable Development (GTSD).

[3]  Fengqi Yu,et al.  A Traffic Congestion Control Algorithm for Wireless Multimedia Sensor Networks , 2018, 2018 IEEE SENSORS.

[4]  Azlan Awang,et al.  Fuzzy-based Fog Computing for Real-Time Data Transmission in Healthcare Internet-of-Things , 2018, 2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT).

[5]  Liang Han,et al.  An Energy Efficient Internet of Things Network Using Restart Artificial Bee Colony and Wireless Power Transfer , 2019, IEEE Access.

[6]  Artur Tomaszewski,et al.  Energy-Optimal Data Aggregation and Dissemination for the Internet of Things , 2018, IEEE Internet of Things Journal.

[7]  Zhigang Li,et al.  Multi-gradient routing protocol for wireless sensor networks , 2017, China Communications.

[8]  Doohwan Lee,et al.  Packet-Size Optimization for Multiple-Input Multiple-Output Cognitive Radio Sensor Networks-Aided Internet of Things , 2017, IEEE Access.

[9]  Gauri P. Heda,et al.  Cluster Based Secure Dynamic Keying Technique For Heterogeneous Mobile Wireless Sensor Networks , 2017 .

[10]  Jing Zhang,et al.  A Grid-Based Clustering Algorithm via Load Analysis for Industrial Internet of Things , 2018, IEEE Access.

[11]  S. Krit,et al.  A mutlipath routing algorithm for wireless sensor networks under distance and energy consumption constraints for reliable data transmission , 2017, 2017 International Conference on Engineering & MIS (ICEMIS).

[12]  Jianqing Li,et al.  Large-scale mobile wireless sensor network data fusion algorithm , 2016, 2016 IEEE International Conference on Big Data Analysis (ICBDA).

[13]  K. Vinoth Babu,et al.  Energy saving cluster head selection in wireless sensor networks for internet of things applications , 2017, 2017 International Conference on Communication and Signal Processing (ICCSP).

[14]  Xiaohui Wang,et al.  Coverage Control of Sensor Networks in IoT Based on RPSO , 2018, IEEE Internet of Things Journal.

[15]  Si Chen,et al.  NSAC: A Novel Clustering Protocol in Cognitive Radio Sensor Networks for Internet of Things , 2019, IEEE Internet of Things Journal.

[16]  Jiangchuan Liu,et al.  Ubiquitous Transmission of Multimedia Sensor Data in Internet of Things , 2018, IEEE Internet of Things Journal.

[17]  Deo Prakash Vidyarthi,et al.  A Green Routing Algorithm for IoT-Enabled Software Defined Wireless Sensor Network , 2018, IEEE Sensors Journal.

[18]  Chadi Assi,et al.  UAV-Aided Projection-Based Compressive Data Gathering in Wireless Sensor Networks , 2019, IEEE Internet of Things Journal.

[19]  Shuyu Jiang.  LEACH Protocol Analysis and Optimization of Wireless Sensor Networks Based on PSO and AC , 2018, 2018 10th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC).

[20]  Sang Hyun Lee,et al.  A Message-Passing Approach to Self-Organizing Internet-of-Things Based Public Safety Networks , 2018, IEEE Access.

[21]  Syed Muhammad Anwar,et al.  Three tier fog networks: Enabling IoT/5G for latency sensitive applications , 2019, China Communications.

[22]  Cong Wang,et al.  Energy Efficient Data Collection in Large-Scale Internet of Things via Computation Offloading , 2019, IEEE Internet of Things Journal.

[23]  Xiong Hui,et al.  TDOA localization algorithm with compensation of clock offset for wireless sensor networks , 2015, China Communications.

[24]  Huan Wang,et al.  RNOB: Receiver Negotiation Opportunity Broadcast Protocol for Trustworthy Data Dissemination in Wireless Sensor Networks , 2018, IEEE Access.

[25]  Tadahiro Kuroda,et al.  Low-energy algorithm for self-controlled Wireless Sensor Nodes , 2016, 2016 International Conference on Wireless Networks and Mobile Communications (WINCOM).

[26]  K. Vinoth Babu,et al.  Two phase dynamic method for cluster head selection in wireless sensor network for Internet of Things applications , 2017, 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET).

[27]  Yong Liang Guan,et al.  Secrecy Throughput Maximization for Full-Duplex Wireless Powered IoT Networks Under Fairness Constraints , 2019, IEEE Internet of Things Journal.

[28]  Lu Dong,et al.  Research on data privacy protection algorithm with homomorphism mechanism based on redundant slice technology in wireless sensor networks , 2019, China Communications.

[29]  Zhiqiang Liu,et al.  Selective Authentication Based Geographic Opportunistic Routing in Wireless Sensor Networks for Internet of Things Against DoS Attacks , 2019, IEEE Access.

[30]  Rupak Kharel,et al.  An energy efficient long hop (LH) first scheduling algorithm for scalable Internet of Things (IoT) networks , 2017, 2017 Eleventh International Conference on Sensing Technology (ICST).