Energy-efficient geographic routing in the presence of localization errors

被引:25
|
作者
Peng, B. [1 ]
Kemp, A. H. [1 ]
机构
[1] Univ Leeds, Sch Elect & Elect Engn, Leeds, W Yorkshire, England
关键词
Wireless Sensor Networks; Energy efficiency; Geographic routing; Location errors; MOBILE AD HOC; SENSOR NETWORKS; WIRELESS;
D O I
10.1016/j.comnet.2010.10.020
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Existing energy-efficient geographic routing algorithms have been shown to reduce energy consumption and hence prolong the lifetime of multi-hop wireless networks. However, in practical deployment scenarios, where location errors inevitably exist, these algorithms are vulnerable to a substantial performance degradation not only in terms of packet delivery ratio but also energy consumption. This paper focuses on the fundamental impact of localization errors in the design of energy-efficient geographic routing algorithms. First, we analyze the properties of existing energy-efficient geographic routing algorithms. This is then extended to compare these energy-efficient geographical routing algorithms in the presence of localization errors. The main contribution of this section is an in-depth analysis of the impact of location errors on geographic routing in terms of energy efficiency. By incorporating location error statistics into an objective function, we propose a new energy-efficient geographic routing algorithm named LED. An adaptive transmission strategy is then proposed to cope with the transmission failure caused by location errors. Finally, extensive performance evaluations show that our proposal is robust to location errors, thus statistically minimizing consumed transmit power as a packet is relayed from source to destination. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:856 / 872
页数:17
相关论文
共 50 条
  • [41] Energy-Efficient Routing Research for WSN
    Wang Daoyuan
    Tian Hui
    Wang Shuang
    2007 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-15, 2007, : 2413 - 2415
  • [42] The Energy-Efficient Probabilistic Routing in MANETs
    Park, Sang-Hyun
    Lee, Jung-Ryun
    FRONTIER AND INNOVATION IN FUTURE COMPUTING AND COMMUNICATIONS, 2014, 301 : 773 - 784
  • [43] Energy-Efficient and QoS-Aware Multi-path Geographic Routing Protocol for WMSN
    Al-Quran, Fida'a
    Mowafi, Moad
    Alma'aitah, Abdallah
    Taqieddin, Eyad
    2018 IEEE GLOBECOM WORKSHOPS (GC WKSHPS), 2018,
  • [44] Energy-Efficient Geographic Routing in 2-D Ad-hoc Wireless Networks
    Feng, Wei
    Elmirghani, Jaafar M. H.
    THIRD INTERNATIONAL CONFERENCE ON NEXT GENERATION MOBILE APPLICATIONS, SERVICES, AND TECHNOLOGIES, PROCEEDINGS, 2009, : 383 - 388
  • [45] LEGR: A load-balanced and energy-efficient geographic routing for lossy wireless sensor network
    Zhao, Lei
    Zhu, Hongsong
    Xu, Yongjun
    Li, Xiaowei
    PROCEEDINGS OF THE 2007 INTERNATIONAL CONFERENCE ON INTELLIGENT SENSORS, SENSOR NETWORKS AND INFORMATION PROCESSING, 2007, : 119 - 124
  • [46] An Energy-Efficient Protocol based on Recursive Geographic Forwarding Mechanisms for Improving Routing Performance in WSN
    Bairagi, Prasanta Pratim
    Dutta, Mala
    Babulal, Kanojia Sindhuben
    IETE JOURNAL OF RESEARCH, 2024, 70 (03) : 2212 - 2224
  • [47] Energy-Efficient Spatial Query-Centric Geographic Routing Protocol in Wireless Sensor Networks
    Wang, Xing
    Liu, Xuejun
    Wang, Meizhen
    Nie, Yunfeng
    Bian, Yuxia
    SENSORS, 2019, 19 (10):
  • [48] Perfect link routing for energy efficient forwarding in geographic routing
    Kleerekoper, A.
    Filer, N. P.
    AD HOC NETWORKS, 2015, 30 : 46 - 62
  • [49] Energy-Efficient Neural Network Acceleration in the Presence of Bit-Level Memory Errors
    Kim, Sung
    Howe, Patrick
    Moreau, Thierry
    Alaghi, Armin
    Ceze, Luis
    Sathe, Visvesh S.
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2018, 65 (12) : 4285 - 4298
  • [50] Energy-efficient WiFi scanning for localization
    Choi, Taehwa
    Chon, Yohan
    Cha, Hojung
    PERVASIVE AND MOBILE COMPUTING, 2017, 37 : 124 - 138