Towards Energy and Performance-aware Geographic Routing for IoT-enabled Sensor Networks

被引:20
作者
Hameed, Ahmad Raza [1 ]
ul Islam, Saif [2 ]
Raza, Mohsin [3 ]
Khattak, Hasan Ali [4 ]
机构
[1] Natl Univ Comp & Emerging Sci, Dept Comp Sci, FAST, Islamabad 44000, Pakistan
[2] Inst Space Technol, Dept Comp Sci, Islamabad 44000, Pakistan
[3] Northumbria Univ, Dept Comp & Informat Sci, Newcastle Upon Tyne NE1 8ST, Tyne & Wear, England
[4] COMSATS Univ Islamabad, Dept Comp Sci, Islamabad 44500, Pakistan
关键词
Internet of Things; Wireless sensor networks; Location error; Energy holes; Energy void regions; WIRELESS; AVOIDANCE; ALGORITHM;
D O I
10.1016/j.compeleceng.2020.106643
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Internet of Things has been a pivotal technology enabler for realizing smart cities vision through the provision of connectivity for everyday objects by means of wireless sensor networks (WSNs). Scalability, flexibility, route efficiency, mobility support and reduced overhead in routing protocols are desired functions in large-scale WSNs. Given the several geographic routing schemes proposed, mainly focusing on positioning, location error, and energy consumption, still exhibit higher delays and overhead which significantly affect the performance of the network. In this paper, an energy-efficient geographic (EEG) routing protocol has been proposed that focuses on network throughput and energy consumption of sensor nodes. Moreover, this strategy also helps in avoiding void region's creation in the network. The proposed protocol reduces the energy hole problem by efficiently balancing the energy consumption among sensor nodes. The extensive simulations illustrate that the proposed scheme manages energy consumption and packet delivery ratio more efficiently in comparison to a state-of-the-art geographic routing protocol. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页数:12
相关论文
共 27 条
[1]   Promoting heterogeneity, mobility, and energy-aware Voronoi diagram in wireless sensor networks [J].
Ammari, Habib M. ;
Das, Sajal K. .
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2008, 19 (07) :995-1008
[2]  
Bhushan B, 2019, STUD COMPUT INTELL, V776, P215, DOI 10.1007/978-3-662-57277-1_10
[3]  
Biswas S., 2018, IND INTERACTIVE INNO, P411
[4]   Non-Euclidian geographic routing in wireless networks [J].
Carlsson, Niklas ;
Eager, Derek L. .
AD HOC NETWORKS, 2007, 5 (07) :1173-1193
[5]   FZ enabled Multi-objective PSO for multicasting in IoT based Wireless Sensor Networks [J].
Chaudhry, Rashmi ;
Tapaswi, Shashikala ;
Kumar, Neetesh .
INFORMATION SCIENCES, 2019, 498 :1-20
[6]  
Hameed AR, 2017, INT WIREL COMMUN, P1155, DOI 10.1109/IWCMC.2017.7986448
[7]   POSE: Prediction-Based Opportunistic Sensing for Energy Efficiency in Sensor Networks Using Distributed Supervisors [J].
Hare, James Z. ;
Gupta, Shalabh ;
Wettergren, Thomas A. .
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 48 (07) :2114-2127
[8]  
Kaur A, 2020, NATURE INSPIRED COMP, P1
[9]   Improved network lifetime and avoidance of uneven energy consumption using load factor [J].
Kumar, Vicky ;
Kumar, Ashok .
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2019, 10 (04) :1425-1432
[10]   Geographic routing in the presence of location errors [J].
Kwon, Sungoh ;
Shroff, Ness B. .
COMPUTER NETWORKS, 2006, 50 (15) :2902-2917