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
Link To Document :
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