Enhancing Network lifetime and Throughput in Heterogeneous Wireless Sensor Networks

被引:0
作者
Hradesh Kumar
Pradeep Kumar Singh
机构
[1] GLA University,
[2] ABES College,undefined
来源
Wireless Personal Communications | 2021年 / 120卷
关键词
Wireless sensor networks (WSNs); Network lifetime; Network throughput; Multi-level heterogeneous model;
D O I
暂无
中图分类号
学科分类号
摘要
In the modern era, WSNs broadly used in many research areas. Mainly researchers are focusing on rising the network lifetime, throughput and decreasing the energy utilization to make the network more reliable, robust and more responsive for a longer period of time. In this paper, two key aspects are taken into account; (i) network lifetime (ii) throughput of the network. The proposed approach is based on multilevel heterogeneity inspired by SEP (Stable Election Protocol). First node dead in the network plays a vital role in network lifetime because if the first node dead after a long period then definitely network lifetime becomes better. To get better the network life time, the proposed approach is another effort to make the network more responsive. Proposed approach compared with NEECP (Novel Energy-Efficient clustering protocol), ICACO (Inter Cluster Ant Colony optimization) and DCHSM (Dynamic Cluster Head Selection Method) gives the improved outcome in conditions of Network lifetime and throughput. In addition to this, comparison with existing approaches is carried out by considering the research papers from the year 2000 to 2017for 16 approaches.
引用
收藏
页码:2971 / 2989
页数:18
相关论文
共 101 条
[1]  
Ouchitachen H(2017)Improved multi-objective weighted clustering algorithm in wireless sensor network Egyptian Informatics Journal 18 45-54
[2]  
Hair A(2016)Lifetime and energy hole evolution analysis in data-gathering wireless sensor networks IEEE Transactions on Industrial Informatics 12 788-800
[3]  
Idrissi N(2017)A Green TDMA Scheduling algorithm for prolonging lifetime in wireless sensor networks IEEE Systems Journal 11 868-877
[4]  
Ren J(2016)A fuzzy logic-based clustering algorithm for WSN to extend the network lifetime IEEE Sensors Journal 16 137-144
[5]  
Zhang Y(2017)Optimally approximating the coverage lifetime of wireless sensor networks IEEE/ACM Transactions on Networking 25 98-111
[6]  
Zhang K(2016)Maximizing lifetime of data-gathering trees with different aggregation modes in WSNs IEEE Sensors Journal 16 8167-8177
[7]  
Liu A(2017)A survey of multi-objective optimization in wireless sensor networks: Metrics, algorithms, and open problems IEEE Communications Surveys & Tutorials 19 550-586
[8]  
Chen J(2017)An improved routing algorithm based on ant colony optimization in wireless sensor networks IEEE Communications Letters 21 1317-1320
[9]  
Shen XS(2017)Node energy based approach to improve network lifetime and throughput in wireless sensor networks Journal of Telecommunication, Electronic and Computer Engineering (JTEC) 9 79-88
[10]  
Long J(2018)Comparison and analysis on artificial intelligence based data aggregation techniques in wireless sensor networks Procedia Computer Science 132 498-506