Forwarding Techniques for IP Fragmented Packets in a Real 6LoWPAN Network

被引:27
|
作者
Ludovici, Alessandro [1 ]
Calveras, Anna [1 ]
Casademont, Jordi [1 ]
机构
[1] Univ Politecn Cataluna, WNG, ES-08034 Barcelona, Spain
来源
SENSORS | 2011年 / 11卷 / 01期
关键词
Wireless Sensor Networks; 6LoWPAN; performance evaluation; mesh under; route over;
D O I
10.3390/s110100992
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Wireless Sensor Networks (WSNs) are attracting more and more interest since they offer a low-cost solution to the problem of providing a means to deploy large sensor networks in a number of application domains. We believe that a crucial aspect to facilitate WSN diffusion is to make them interoperable with external IP networks. This can be achieved by using the 6LoWPAN protocol stack. 6LoWPAN enables the transmission of IPv6 packets over WSNs based on the IEEE 802.15.4 standard. IPv6 packet size is considerably larger than that of IEEE 802.15.4 data frame. To overcome this problem, 6LoWPAN introduces an adaptation layer between the network and data link layers, allowing IPv6 packets to be adapted to the lower layer constraints. This adaptation layer provides fragmentation and header compression of IP packets. Furthermore, it also can be involved in routing decisions. Depending on which layer is responsible for routing decisions, 6LoWPAN divides routing in two categories: mesh under if the layer concerned is the adaptation layer and route over if it is the network layer. In this paper we analyze different routing solutions (route over, mesh under and enhanced route over) focusing on how they forward fragments. We evaluate their performance in terms of latency and energy consumption when transmitting IP fragmented packets. All the tests have been performed in a real 6LoWPAN implementation. After consideration of the main problems in forwarding of mesh frames in WSN, we propose and analyze a new alternative scheme based on mesh under, which we call controlled mesh under.
引用
收藏
页码:992 / 1008
页数:17
相关论文
共 50 条
  • [41] A SECURITY FRAMEWORK FOR A 6LoWPAN BASED INDUSTRIAL WIRELESS SENSOR NETWORK
    Halcu, Ionela
    Stamatescu, Grigore
    Sgarciu, Valentin
    UNIVERSITY POLITEHNICA OF BUCHAREST SCIENTIFIC BULLETIN SERIES C-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE, 2016, 78 (04): : 57 - 68
  • [42] Constructing a 6LoWPAN Wireless Sensor Network Based on a Cluster Tree
    Wang, Xiaonan
    Qian, Huanyan
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2012, 61 (03) : 1398 - 1405
  • [43] A Review on Smart Grid Network Security Issues over 6LoWPAN
    Ibhaze, Augustus E.
    Akpabio, Moses U.
    John, Samuel N.
    PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON INTERNET OF THINGS, DATA AND CLOUD COMPUTING (ICC 2017), 2017,
  • [44] Proxy-based service discovery and network selection in 6LoWPAN
    Chaudhry, Shafique Ahmad
    Do Jung, Won
    Akbar, Ali Hammad
    Kim, Ki-Hyung
    HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS, PROCEEDINGS, 2006, 4208 : 525 - 534
  • [45] Performance Analysis of a Distributed 6LoWPAN Network for the Smart Grid Applications
    Chen, Dong
    Brown, Jason
    Khan, Jamil Y.
    2014 IEEE NINTH INTERNATIONAL CONFERENCE ON INTELLIGENT SENSORS, SENSOR NETWORKS AND INFORMATION PROCESSING (IEEE ISSNIP 2014), 2014,
  • [46] Analysing efficiency of IPv6 packet transmission over 6LoWPAN network
    Kozlowski, Adam
    Sosnowski, Janusz
    PHOTONICS APPLICATIONS IN ASTRONOMY, COMMUNICATIONS, INDUSTRY, AND HIGH ENERGY PHYSICS EXPERIMENTS 2017, 2017, 10445
  • [48] Design on energy-saving mechanism of 6lowpan wireless sensor network
    Qu, Zhenfeng (quzhengfu@163.com), 1600, Bentham Science Publishers B.V., P.O. Box 294, Bussum, 1400 AG, Netherlands (06):
  • [49] An Android-based mobile 6LoWPAN network architecture for pervasive healthcare
    Wang, Kevin I-Kai
    Dubey, Shivank
    Rajamohan, Ashwin
    Salcic, Zoran
    2015 INTERNATIONAL CONFERENCE ON INTELLIGENT ENVIRONMENTS IE 2015, 2015, : 49 - 56
  • [50] Improving network lifetime and speed for 6LoWPAN networks using machine learning
    Kharche S.
    Pawar S.
    International Journal of Intelligent Systems Technologies and Applications, 2020, 19 (04) : 307 - 321