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Energy conservation has been known as the most important issue for many applications in wireless sensor networks (WSNs). For data gathering in a clustered sensor network, most existing work focuses on fusing data at cluster heads (CHs). However, in target tracking applications, these approaches do not consider that one target is usually detected by sensor nodes in multiple clusters, which leads to...
To lead to the Smart Cities, we should have the possibility of obtaining information from different places and objects anytime and anywhere, in order to collect sufficient data to anticipate problems and take a good decisions. This will promote to an effective and autonomous organization by creating interacted and communicated objects around the city. So, we need to install various and specific IP-based...
Because of densely deployment of sensors and limited energy supply in wireless sensor networks, it is not necessary for every sensor to be active at any time instant. Many researches have been focused on this issue, while less emphasis was placed on the optimal sleep time of each node. This paper proposed an adaptive energy conservation strategy for target tracking based on a clustering network, where...
Power consumption is the main challenges of expanding the network, since the active nodes are more vulnerable to energy consumption. This paper proposes the tasks scheduling and distribution energy management mechanism of roles dormant cells (SRDC) to curb excessive consumption of energy consumed in the performance of duplicates task and unhelpful. Experimental results verify that the proposed of...
Wireless sensor networks (WSNs) have recently emerged as a key sensing technology with diverse civilian and military applications. In these networks, a large number of small sensors or nodes perform distributed sensing of a target field. Each node is capable of sensing events of interest within its sensing range and communicating with neighboring nodes. The target field is said to be k-covered if...
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