ModeSelection: Simulation Data for a Multi-Criteria Probabilistic Cluster-Head Selection Protocol
收藏资源简介:
This dataset contains the OMNeT++ simulation results (scalar metrics: FND, HND, LND, delivery ratio) supporting the paper "ModeSelection: A Multi-Criteria Probabilistic Cluster-Head Selection Protocol with Topology-Dependent Optimization for Wireless Sensor Networks." It includes: (1) an exhaustive grid search over the ModeSelection election parameters (alpha, beta, theta) at four base-station topologies (BS=(50,175), BS=(50,50), BS=(0,0), BS=(50,100)); (2) a same-environment, same-seed comparison of ModeSelection against six reference clustering protocols (LEACH, LEACH-C, HEED, DEEC, EEUC, MOD-LEACH) at every topology; and (3) the raw data supporting a hold-out validation of the reported grid-search optimum. All simulations use N=100 nodes, initial energy E0=0.5 J, the EECS energy model, and a realistic CC2420 radio channel (collisions, SINR). See the included README.txt for a full description of each file and column.



