Literature DB >> 26690430

Impact of Heterogeneity and Secrecy on the Capacity of Wireless Sensor Networks.

Qiuming Liu1,2, Li Yu3, Zuhao Liu4, Jun Zheng5.   

Abstract

This paper investigates the achievable secrecy throughput of an inhomogeneous wireless sensor network. We consider the impact of topology heterogeneity and the secrecy constraint on the throughput. For the topology heterogeneity, by virtue of percolation theory, a set of connected highways and information pipelines is established; while for the secrecy constraint, the concept of secrecy zone is adopted to ensure secrecy transmission. The secrecy zone means there is no eavesdropper around the legitimate node. The results demonstrate that, if the eavesdropper's intensity is λ(e)= o((log n)(-(3δ-4)/(δ-2))), a per-node secrecy rate of Ω [formula: see text] can be achieved on the highways, where δ is the exponent of heterogeneity, n and n(v) represent the number of nodes and clusters in the network, respectively. It is also shown that, with the density of the eavesdropper λ(e) = o((log(n Φ ̲ ))(-2)), the per-node secrecy rate of Ω (√(Φ ̲ /n)) can be obtained in the information pipelines, where Φ ̲ denotes the minimum node density in the network.

Entities:  

Keywords:  heterogeneous topology; percolation; secrecy throughput; wireless sensor networks

Year:  2015        PMID: 26690430      PMCID: PMC4721764          DOI: 10.3390/s151229844

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  2 in total

1.  Throughput fairness enhancement using differentiated channel access in heterogeneous sensor networks.

Authors:  Eui-Jik Kim; Taeshik Shon; James Jong Hyuk Park; Young-Sik Jeong
Journal:  Sensors (Basel)       Date:  2011-06-27       Impact factor: 3.576

2.  A structure fidelity approach for big data collection in wireless sensor networks.

Authors:  Mou Wu; Liansheng Tan; Naixue Xiong
Journal:  Sensors (Basel)       Date:  2014-12-25       Impact factor: 3.576

  2 in total

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