Joint Energy-Saving Scheduling and Secure Routing for Critical Event Reporting in Wireless Sensor Networks

被引:15
作者
Feng, Wei [1 ,2 ,3 ]
Wang, Feng [1 ]
Xu, Dan [1 ]
Yao, Yingbiao [1 ]
Xu, Xiaorong [1 ]
Jiang, Xianyang [1 ]
Zhao, Mingxiong [4 ]
机构
[1] Hangzhou Dianzi Univ, Sch Commun Engn, Hangzhou 310018, Peoples R China
[2] Nanjing Univ Posts & Telecommun, Coll Telecommun & Informat Engn, Nanjing 210023, Peoples R China
[3] Sunwave Commun Co Ltd, Hangzhou 310051, Peoples R China
[4] Yunnan Univ, Sch Software, Kunming 650091, Yunnan, Peoples R China
基金
中国国家自然科学基金;
关键词
Secure routing; energy saving; sleeping scheduling; critical event reporting; wireless sensor networks; PROTOCOLS; BALANCE;
D O I
10.1109/ACCESS.2020.2981115
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the growing concerns about energy saving and security problems in wireless sensor networks (WSNs), we investigated a joint energy saving scheduling and secure routing algorithm for critical event reporting in WSN. When a critical event has been detected, the notification must be safely sent to the sink node through the uplink transmission, and the sink node needs to broadcast the alarm messages to the whole network through the downlink transmission. In the uplink, a joint power allocation and secure routing strategy (JPASR) has been proposed to maximize the routing secure connection probability (RSCP) under the constraint of power. Meanwhile, combined with the level-by-level sleeping scheduling method, the energy-saving and secure uplink transmission can be guaranteed. In the downlink, an energy-first multi-point relays set selection mechanism (EFMSS) is designed to choose the backbone nodes to broadcast messages, and the backbone nodes are waken up by the same level-by-level sleeping scheduling method as the uplink transmission. With the two-step procedure, the critical events are appropriately dealt with and the responses are broadcast to the whole network. Extensive simulations results demonstrate that the energy saving and security performances of the proposed method are superior to the existing ones.
引用
收藏
页码:53281 / 53292
页数:12
相关论文
共 28 条
[1]  
Ankarali ZE, 2015, 2015 IEEE 20TH INTERNATIONAL WORKSHOP ON COMPUTER AIDED MODELLING AND DESIGN OF COMMUNICATION LINKS AND NETWORKS (CAMAD), P144, DOI 10.1109/CAMAD.2015.7390497
[2]  
[Anonymous], [No title captured]
[3]  
[Anonymous], 2017, P 2017 IEEE WIR COMM
[4]  
[Anonymous], [No title captured]
[5]   An evolutionary routing game for energy balance in Wireless Sensor Networks [J].
Attiah, Afraa ;
Amjad, Muhammad Faisal ;
Chatterjee, Mainak ;
Zou, Cliff .
COMPUTER NETWORKS, 2018, 138 :31-43
[6]   Opportunistic Routing Protocols in Wireless Sensor Networks [J].
Ben Fradj, Hajer ;
Anane, Rajoua ;
Bouallegue, Ridha .
WIRELESS PERSONAL COMMUNICATIONS, 2019, 104 (03) :921-933
[7]  
Ben Fradj H, 2017, INT WIREL COMMUN, P770, DOI 10.1109/IWCMC.2017.7986382
[8]   Big Data Challenges and Data Aggregation Strategies in Wireless Sensor Networks [J].
Boubiche, Sabrina ;
Boubiche, Djallel Eddine ;
Bilami, Azeddine ;
Toral-Cruz, Homero .
IEEE ACCESS, 2018, 6 :20558-20571
[9]   Distribution functions of selection combiner output in equally correlated Rayleigh, Rician, and Nakagami-m fading channels [J].
Chen, YX ;
Tellambura, C .
IEEE TRANSACTIONS ON COMMUNICATIONS, 2004, 52 (11) :1948-1956
[10]  
Eddine-Boubiche D, 2018, INTELL DAT CENT SYST, P41, DOI 10.1016/B978-0-12-812130-6.00003-2