¡¡Chinese Journal of Computers   Full Text
  TitleEnergy Prediction and Reliable Clustering Routing Protocol for Multilevel Energy Heterogeneous Wireless Sensor Networks
  AuthorsCAI Hai-Bin1)£¬2) JU Xiao-Ming1) CAO Qi-Ying2)
  Address1)(Software Engineering Institute, East China Normal University, Shanghai 200062)
2)(College of Computer Science and Technology, Donghua University, Shanghai 200051)
  Year2009
  IssueNo.12(2393¡ª2402)
  Abstract &
  Background
Abstract Wireless sensor networks, which is utilized in a broad foreground, is able to monitor and collect various information for location-aware or context-aware systems in ubiquitous computing environment. This paper proposes a novel remaining energy prediction model and reliable clustering routing protocol for multilevel energy heterogeneous wireless sensor networks in ubiquitous computing environment, in which a node, according to energy prediction mechanism, independently makes its decision to compete for becoming a master cluster head in order to optimize routing, improve energy efficiency and prolong system lifetime. In addition, this protocol selects multi-cluster-heads in every cluster together as one cluster head, performing data fusion and data transmission so that data transmission reliability is enhanced. The results of simulation show that compared with LEACH and HEED protocol, the RCR protocol could lead to prolong sensor networks lifetime, improve energy efficiency and enhance data transmission reliability.
Keywords ubiquitous computing; wireless sensor networks; heterogeneous environment; location-aware; remaining energy prediction; clustering routing Background
At present, there are more and more wireless sensor networks owing to its wide application in many domains, such as pervasive computing, cyber-physical systems and so on. It is able to monitor and collect information for location-aware or context-aware. However, the methods of energy prediction and reliable clustering routing are key problems in the research domain. How to prolong sensor lifetime, improve energy efficiency and enhance date transmission reliability are important research topics. The paper focuses on the analysis and discussion of energy prediction methods and clustering routing protocol.
This subject is supported by the Ministry of Education Technology Research Key Foundation of China under grant No.104086 and the ¡°Base Construction¡± Program of Science and Technology Commission of Shanghai Municipality under grant No.07dz22107. These projects focus on research and development of reliable clustering routing protocol of wireless sensor networks. The team has made a lot of progress in the area and published many papers in international and domestic journals or conference proceedings. The content of this paper mainly proposes a novel remaining energy prediction model and reliable clustering routing protocol for multilevel energy heterogeneous wireless sensor networks in ubiquitous computing environment, in which a node, according to energy prediction mechanism, independently makes its decision to compete for becoming a master cluster head in order to optimize routing, improve energy efficiency and prolong system lifetime.