Everblu 2

 

Optimising data collection in wireless sensor networks

Description

 

This project is a collaboration with ITRON France and aims to optimize data collection in Wireless sensor networks with application to smart metering networks. Wireless sensor networks (WSNs) contain many nodes able to collect and transmit data autonomously. These sensors are usually equipped with a limited energy source (battery), thus reducing energy consumption is a challenge for this type of network. In this project, we address the issue of optimizing data collection in these networks within three axis:

1.      Data aggregation to reduce the data traffic.

2.      The MAC protocols to avoid the interference.

3.      A deployment strategy to enhance the network performance and ensure

Data aggregation in WSNs enables the network to reduce energy consumption by removing redundant packets, and by combining packets together and sending them as one packet. In this project, we consider real-time applications where the correctness  addition, we developed a new distributed

To avoid interferences, we must focus on how the sensors access to the transmission channel via Medium Access Control (MAC) protocols in order to decrease the risk of packets collision. This task is more difficult if we consider both real-time constraints and the mobility of nodes.

This project is carried out under the EverBlu project developed at Itron. The EverBlu system is a complex system where thousands of nodes are deployed in field for automatic meter reading system. The network includes heterogeneous battery powered nodes where each type has its own task to accomplish. To reduce the complexity of routing, data fusion and communication in this kind of WSNs, the project aims to develop a new deployment strategy where the different network components are first predicted so that the overall system can satisfy the application requirements including the lifetime, the network limitations and link quality at the minimum cost. We consider that a good deployment strategy must be flexible, therefore, the user can modify the location of the different EverBlu components according to the reality it may face in field.

           

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