Performance Evaluation of LEACH on Cluster Head Selection Techniques in Wireless Sensor Networks

MAP: An Optimized Energy-Efficient Cluster Header Selection Technique for Wireless Sensor Networks

“…Generally, all LEACH derivations can dissipate the energy consumption over all sensor nodes over times. Similarly to what discussed in [6], W-LEACH outperforms T-LEACH and K-LEACH, accordingly, and especially, all of those techniques are superior to a traditional LEACH. In addition, when the selection probability is included, although Hybrid-LEACH and DCHS performances are similar to that of LEACH, N-LEACH has higher energy efficiency gain than the others.…”

“…As stated in [6], W-LEACH outperforms other LEACH derivations when considering only the energy factor enhancement; however, there are also some proposals focusing on the improvement given the selection probability. For example, Azim, A. et al [9] proposed the modification over energy selection probability of initial and current energy given number of nodes (N) and number of cluster (k) modified in the traditional LEACH, the so-called Hybrid-LEACH by as follows:…”

“…Note that we also did the intensive simulation to figure out the suitable window size, and we selected 10 for our proposal (outstanding performance); and 500 for W-LEACH [6]; however, with window size in range over 10 and 1000, the results remain superior over the others.…”

“…However, in this paper, we focus on improving the cluster head selection process. Referring to several surveyed approaches, e.g., A-LEACH, C-LEACH, E-LEACH, K-LEACH, P-LEACH, T-LEACH, and W-LEACH, performing the performance evaluation focusing on the cluster head selection criteria [6]. Here, we will briefly discuss on their outstanding techniques including some additional recent proposals.…”

“…Recently, in early 2013, So-In, C. et al [6] proposed the improvement over K-LEACH by introducing the use of moving average window (w) to smooth the fluctuation of current energy in each round, the so-called W-LEACH as follows:…”