Lower bounds on lifetime of ultra wide band wireless sensor networks

  • Authors:
  • Juan Xu;Changjun Jiang;Aihuang Guo;Yongfa Hong;Shu Li;Xingzhen Bai

  • Affiliations:
  • School of Electronics and Information Engineering, Tongji University, Shanghai, People's Republic of China 200092 and Key Laboratory of Embedded System and Service Computing of the Ministry of Edu ...;School of Electronics and Information Engineering, Tongji University, Shanghai, People's Republic of China 200092 and Key Laboratory of Embedded System and Service Computing of the Ministry of Edu ...;School of Electronics and Information Engineering, Tongji University, Shanghai, People's Republic of China 200092 and Key Laboratory of Embedded System and Service Computing of the Ministry of Edu ...;College of Information Science and Engineering, Shandong University of Science and Technology, Qingdao, People's Republic of China 266510;School of Electronics and Information Engineering, Tongji University, Shanghai, People's Republic of China 200092 and Key Laboratory of Embedded System and Service Computing of the Ministry of Edu ...;School of Electronics and Information Engineering, Tongji University, Shanghai, People's Republic of China 200092 and Key Laboratory of Embedded System and Service Computing of the Ministry of Edu ...

  • Venue:
  • Wireless Networks
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

The asymptotic lower bounds on the lifetime of time hopping impulse radio ultra wide band (TH-IR UWB) wireless sensor networks are derived using percolation theory arguments. It is shown that for static dense TH-IR UWB wireless sensor network, which sensor nodes are distributed in a square of unit area according to a Poisson point process of intensity n, the lower bound on the lifetime is $$ \Upomega \left( {\left( {{{\sqrt n } \mathord{\left/ {\vphantom {{\sqrt n } {\log \sqrt n }}} \right. \kern-\nulldelimiterspace} {\log \sqrt n }}} \right)^{\alpha - 2} } \right) $$ , where 驴 2 is the path loss exponent, thus dense TH-IR UWB wireless sensor network is fit to be employed in large-scale network. For static extended TH-IR UWB wireless sensor network which sensor nodes are distributed in a square $$ \left[ {0,\sqrt n } \right] \times \left[ {0,\sqrt n } \right] $$ according to a Poisson point process of unit intensity, the lower bound on the lifetime is $$ \Upomega \left( {{{\left( {\log \sqrt n } \right)^{2 - \alpha } } \mathord{\left/ {\vphantom {{\left( {\log \sqrt n } \right)^{2 - \alpha } } n}} \right. \kern-\nulldelimiterspace} n}} \right) $$ , therefore large-scale extended network will lead to shorten network lifetime. The results also indicate that the lower bound on the lifetime in the ideal case is longer than that of a static network by a factor of $$ n^{1/2} \left( {\log \sqrt n } \right)^{\alpha - 4} $$ . Hence mobility of sensor nodes can improve network lifetime.