Journal on Communications ›› 2013, Vol. 34 ›› Issue (8): 35-43.doi: 10.3969/j.issn.1000-436x.2013.08.005

• Papers • Previous Articles     Next Articles

Adjustable lifetime-prolonging structure for topology control in heterogeneous wireless sensor network

Xiao-hong LI,Jing-qiao GE,Da-fang ZHANG   

  1. College of Information Science and Engineering,Hunan University,Changsha 410082,China
  • Online:2013-08-25 Published:2017-08-31
  • Supported by:
    The National Natural Science Foundation of China;The National Natural Science Foundation of China;The Fundamental Research Funds for the Central Universities of China

Abstract:

The problem of topology control in a network of heterogeneous wireless devices with different maximum transmission ranges was considered.For most topology control structures,the energy model adopted is quite unrealistic,in which the reception energy is commonly neglected.Moreover,most existing approaches to topology control were mainly considered to preserve energy-efficient paths in the resulting topology structures which may not allow network to realize maximum potential lifetime.An adjustable lifetime-prolonging structure for heterogeneous wireless sensor network (ALPH) to control topology was presented.Different from the prior work,based on the more realistic energy model,preserving all the maximal lifetime paths in the resulting topology structures was considered.Properties of ALPH by proof or simulation shows:the topologies derived under ALPH preserve the network connectivity and bi-directionality; it preserves all maximal lifetime paths between any pair of nodes under different RF modules; it enables each node to adjust the topology independently between DRNG and the MaxPower graph via parameter P R 0 and allows nodes to have different path loss exponents; compared with previous work of DRNG,DGG,EYG and the MaxPower graph based on the real device’s parameters,it can effectively prolong network lifetime.

Key words: wireless sensor network, heterogeneous, topology control, geometric graph, network lifetime

No Suggested Reading articles found!