What is the most energy-efficient clustering algorithms that uses intra-communication cost and residual energy to elect the Cluster Heads (CHs) to Minimizing the energy consumption for data transmission in Wireless Sensor Networks (WSNs)?
Hybrid, Energy-Efficient, and Distributed clustering approach (Younis, O., &Fahmy, S. (2004). HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks. Mobile Computing, IEEE Transactions on, 3(4), 366-379.) is considered one of the most energy-efficient clustering algorithms that uses intra-communication cost and residual energy to elect the Cluster Heads (CHs).
Younis, O., &Fahmy, S. (2004). HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks. Mobile Computing, IEEE Transactions on, 3(4), 366-379.
Can we use energy efficient heterogeneous clustered scheme (EEHCS) for this purpose ??
since the energy efficient heterogeneous clustered scheme (EEHCS) is an energy efficient, heterogeneous clustering scheme for wireless sensor networks, which is based on weighted election probabilities of each node to become a cluster head according to the residual energy in each node.
The algorithm starts the clustering process with the nodes present in the heterogeneous network having different amount of energy at the beginning.
The optimal probability of a node being elected as a cluster head is a function of spatial density when nodes are uniformly distributed over the sensor field. This clustering scheme is considered as optimal because the energy consumption is well distributed over all sensors and the total energy consumption is minimum
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