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The effective treatment with uncertainty information of sensor observations is always considered as the key of filter design and optimization.
Accordingly, future in-network computing must capture the energy harvesting information of sensor nodes to jointly optimize the computation and communication within the network.
Meanwhile, the exact location information of sensor nodes are of great help in improving the efficiency of network routing [3].
MSNS visualizes the location information of sensor nodes, connectivity degree, and sensing coverage, all of which change with simulation-time.
In this paper, we propose two different distributed algorithms for multicast routing in wireless sensor networks which make use of location information of sensor nodes.
A different approach was used by the authors of [4, 5] who add the current energy information of sensor nodes into Equation (1).
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The RELOAD overlay maps CoAP URIs to contact information of sensors.
In the following simulations, we consider the fixed sensors, hence it is reasonable to assume that the BS can obtain the perfect DOA and DOD information of sensors.
The location information of sensors also helps facilitate WSN operation such as routing to a geographic field of interests, measuring quality of coverage, and achieving traffic load balance.
The job of the Classifier sink node is to rearrange and mark the information of sensors which are located in its Manager sink node area.
Since the energy information of sensors can be collected effectively, the mobile charger can recharge the sensors in a right time such that the network lifetime can be effectively sustained.
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