DocumentCode
3527257
Title
Hopping enhanced sensors for efficient sensor network connectivity and coverage
Author
Cintrón, Fernando J. ; Mutka, Matt W.
Author_Institution
Comput. Sci. & Eng., Michigan State Univ., East Lansing, MI, USA
fYear
2010
fDate
8-12 Nov. 2010
Firstpage
119
Lastpage
126
Abstract
This work presents the organization and operation of a hopping sensor wireless network. It defines two decentralized algorithms for the discovery of isolated nodes, aggressive and smart discovery, to propagate base station connectivity. Both algorithms rely on the usage of hopping sensors on the boundary of a cluster, without prior topology information. We studied the efficiency of the algorithms in terms of network energy consumption and connectivity propagation. A cluster to cluster (C-to-C) packet forwarding scheme, which relies upon boundary hopping sensor gateway nodes, is defined and simulated, and proves to have remarkable low energy consumption. In-field measurements were performed to obtain real data to serve as input parameters for simulations. Simulation results indicate significant savings in network wide energy consumption (57% for aggressive discovery and 79% for smart discovery).
Keywords
telecommunication network topology; wireless sensor networks; C-to-C packet forwarding scheme; aggressive discovery; base station connectivity; boundary hopping sensor gateway nodes; cluster to cluster packet forwarding scheme; connectivity propagation; decentralized algorithms; hopping enhanced sensors; hopping sensor wireless network; in-field measurements; isolated nodes; network energy consumption; network wide energy consumption; organization; sensor network connectivity; sensor network coverage; smart discovery; topology information; Base stations; Clustering algorithms; Energy consumption; Network topology; Sensors; Topology; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Mobile Adhoc and Sensor Systems (MASS), 2010 IEEE 7th International Conference on
Conference_Location
San Francisco, CA
ISSN
2155-6806
Print_ISBN
978-1-4244-7488-2
Type
conf
DOI
10.1109/MASS.2010.5663956
Filename
5663956
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