Table 5.

Experiment’s assumptions.

No.	Assumption
1.	Each node knows its residual energy and location.
2.	The sink node is different from other sensor nodes and has more resources (energy, memory, processing power, and transmission power) compared to them.
3.	Each node has an Omni directional antenna.
4.	The sensor and sink nodes are fixed at given locations.
5.	The channel is collision-less.
6.	Any signal is sparse in the linear-transform domain.
7.	The measurement is linear.
8.	The number of measurements is equal to or more than twice the sparsity level of the sensed data.
9.	The measurement matrix $\phi$ has Restricted Isometry Property (RIP) and is suitable for the recovery of sparse or compressed data.
10.	The number of data sensed by the sensor nodes is infinite.
11.	The sparsity level of the sensed data is not fixed over time and changes for different data types sensed by the sensor nodes.
12.	$X$ is uniformly distributed over $x$.