A Green Data Collection & Transmission Method for IoT-Based WSN in Disaster Management

被引:28
作者
Nandan, Aridaman Singh [1 ]
Singh, Samayveer [1 ]
Malik, Aruna [1 ]
Kumar, Rajeev [2 ]
机构
[1] Dr BR Ambedkar Natl Inst Technol Jalandhar, Dept Comp Sci & Engn, Jalandhar 144011, Punjab, India
[2] Delhi Technol Univ, Dept Comp Sci & Engn, Delhi 110042, India
关键词
Sensors; Wireless sensor networks; Genetic algorithms; Disaster management; Data collection; Routing; Protocols; Internet of Things; sensor nodes; clustering; direct data collection; adjustable sensing range; movable sinks; WIRELESS SENSOR NETWORKS; ASSISTED OPPORTUNISTIC NETWORK;
D O I
10.1109/JSEN.2021.3117995
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Being as an integral part of data exchange in disaster management, Internet of Thing (IoT) is an essential component to update the disaster management information to all the connected nodes. In such scenarios, the nodes are deployed with a limited battery, batteries of these nodes are non-rechargeable and such networks consume huge energy in data exchange. Therefore, the practical implementation of such type of networks is a difficult task as routing avoids the paths and consume a tremendous amount of energy during collection/transmission of data. This paper proposes an optimized Genetic Algorithm (GA) based green data collection/transmission method for IoT based WSN in disaster management by satisfying multiple constraints i.e., optimizing intra-cluster distance, systematic utilization of node's energy in the cluster and reducing hop count. The proposed direct data collection/transmission and movable sink strategies shorten the communication distance between the sink and cluster head (CH) which diminishes the hotspot problem. The direct data collection helps in transmitting data directly to the sink when the sinks are nearer to the sensor nodes with respect to CH. Further, the incorporated dynamic sensing range minimizes overlapping of sensing range of CH along with a significant decrement in the transmission energy. The simulation results show that the proposed protocol outperforms the existing protocols on the performance metrics namely network's remaining energy, lifetime, stability period, and throughput per rounds.
引用
收藏
页码:25912 / 25921
页数:10
相关论文
共 23 条
[1]   Energy efficient multi-hop path in wireless sensor networks using an enhanced genetic algorithm [J].
Al-Shalabi, Mohammed ;
Anbar, Mohammed ;
Wan, Tat-Chee ;
Alqattan, Zakaria .
INFORMATION SCIENCES, 2019, 500 :259-273
[2]   Genetic algorithm based optimized leach protocol for energy efficient wireless sensor networks [J].
Bhola, Jyoti ;
Soni, Surender ;
Cheema, Gagandeep Kaur .
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2020, 11 (03) :1281-1288
[3]   Heterogeneous HEED Protocol for Wireless Sensor Networks [J].
Chand, Satish ;
Singh, Samayveer ;
Kumar, Bijendra .
WIRELESS PERSONAL COMMUNICATIONS, 2014, 77 (03) :2117-2139
[4]   Cluster Head Selection in Heterogeneous Wireless Sensor Network Using a New Evolutionary Algorithm [J].
Chauhan, Sumika ;
Singh, Manmohan ;
Aggarwal, Ashwani Kumar .
WIRELESS PERSONAL COMMUNICATIONS, 2021, 119 (01) :585-616
[5]   An Enhanced Energy-Aware Cluster-Based Routing Algorithm in Wireless Sensor Networks [J].
Dehghani, Shahrzad ;
Barekatain, Behrang ;
Pourzaferani, Mohammad .
WIRELESS PERSONAL COMMUNICATIONS, 2018, 98 (01) :1605-1635
[6]   Modeling and analyzing cascading failures for Internet of Things [J].
Fu, Xiuwen ;
Yang, Yongsheng .
INFORMATION SCIENCES, 2021, 545 :753-770
[7]   Environment-fusion multipath routing protocol for wireless sensor networks [J].
Fu, Xiuwen ;
Fortino, Giancarlo ;
Pace, Pasquale ;
Aloi, Gianluca ;
Li, Wenfeng .
INFORMATION FUSION, 2020, 53 :4-19
[8]   Message forwarding for WSN-Assisted Opportunistic Network in disaster scenarios [J].
Fu, Xiuwen ;
Yao, Haiqing ;
Postolache, Octavian ;
Yang, Yongsheng .
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2019, 137 :11-24
[9]   WSNs-assisted opportunistic network for low-latency message forwarding in sparse settings [J].
Fu, Xiuwen ;
Fortino, Giancarlo ;
Li, Wenfeng ;
Pace, Pasquale ;
Yang, Yongsheng .
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2019, 91 :223-237
[10]   Genetic Algorithm for Improving the Lifetime and QoS of Wireless Sensor Networks [J].
Hamidouche, Ranida ;
Aliouat, Zibouda ;
Gueroui, Abdelhak Mourad .
WIRELESS PERSONAL COMMUNICATIONS, 2018, 101 (04) :2313-2348