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Hierarchical Coordination for Data Gathering (HCDG) in Wireless Sensor Networks
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International Journal of Computer Science and Security (IJCSS)
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Volume:  5    Issue:  5
Pages:  NULL
Publication Date:   November / December 2011
ISSN (Online): 1985-1553
Pages 
443 - 455
Author(s)  
Manal AL-Bzoor - United States of America
Laiali Almazaydeh - United States of America
Syed S Rizvi - United States
 
Published Date   
15-12-2011 
Publisher 
CSC Journals, Kuala Lumpur, Malaysia
ADDITIONAL INFORMATION
Keywords   Abstract   References   Cited by   Related Articles   Collaborative Colleague
 
KEYWORDS:   OCR (Optical Character Recognition), Non-OCR, Captcha2, Net 
 
 
This Manuscript is indexed in the following databases/websites:-
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2. Google Scholar
3. Bielefeld Academic Search Engine (BASE)
4. Directory of Open Access Journals (DOAJ)
 
 
A wireless sensor network (WSN) consists of large number of sensor nodes where each node operates by a finite battery for sensing, computing, and performing wireless communication tasks. Energy aware routing and MAC protocols were proposed to prolong the lifetime of WSNs. MAC protocols reduce energy consumption by putting the nodes into sleep mode for a relatively longer period of time; thereby minimizing collisions and idle listening time. On the other hand, efficient energy aware routing is achieved by finding the best path from the sensor nodes to the Base Sta-tion (BS) where energy consumption is minimal. In almost all solutions there is always a tradeoff between power consumption and delay reduction. This paper presents an improved hierarchical coordination for data gathering (HCDG) routing schema for WSNs based on multi-level chains formation with data aggregation. Also, this paper provides an analytical model for energy consumption in WSN to compare the performance of our proposed HCDG schema with the near optimal energy reduction methodology, PEGASIS. Our results demonstrate that the proposed routing schema provides relatively lower energy consumption with minimum delay for large scale WSNs. 
 
 
 
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Manal AL-Bzoor : Colleagues
Laiali Almazaydeh : Colleagues
Syed S Rizvi : Colleagues  
 
 
 
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