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Author Chatzigiannakis, Ioannis ♦ Kinalis, Athanasios ♦ Nikoletseas, Sotiris ♦ Chatzigiannakis, I. ♦ Kinalis, A. ♦ Nikoletseas, S.
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Heterogeneous Wireless Sensor ♦ Incremental Deployment ♦ Adaptive Energy Management ♦ Sensor Device ♦ Dynamic Scenario ♦ Traffic Condition ♦ Extended Version ♦ Protocol Design ♦ Network Density ♦ Node Towards ♦ Ist Programme ♦ Sleepawake Schedule ♦ Various Type ♦ Detailed Simulation Study ♦ Operation Choice ♦ Network Simulator ♦ Efficient Data Propagation ♦ New Power Conservation Scheme ♦ European Union ♦ Achieved Performance ♦ New Modelling Assumption ♦ Wireless Sensor Network ♦ Network Condition ♦ Well-known Data Propagation Protocol ♦ Control Message ♦ Node Redeployment ♦ Powerful Technique ♦ Dynamic Nature ♦ Protocol Evolution
Abstract Abstract We introduce a new modelling assumption for wireless sensor networks, that of node redeployment (addition of sensor devices during protocol evolution) and we extend the modelling assumption of heterogeneity (having sensor devices of various types). These two features further increase the highly dynamic nature of such networks and adaptation becomes a powerful technique for protocol design. Under these modelling assumptions, we design, implement and evaluate a new power conservation scheme for efficient data propagation. Our scheme is adaptive: it locally monitors the network conditions (density, energy) and accordingly adjusts the sleepawake schedules of the nodes towards improved operation choices. The scheme is simple, distributed and does not require exchange of control messages between nodes. Implementing our protocol in software we combine it with two well-known data propagation protocols and evaluate the achieved performance through a detailed simulation study using our extended version of the network simulator ns-2. We focus on highly dynamic scenarios with respect to network density, traffic conditions and This work has been partially supported by the IST Programme of the European Union under contract
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Publisher Date 2007-01-01