A Novel HISMO Solution to Coverage Hole Mitigation in 6G-IoT

Abstract

In 6G-IoT, coverage hole problem is a major issue which needs to be addressed. In this paper, a novel approach to heal the hole it is proposed. A hypergraph based improved slime mould optimization (HISMO) is presented for coverage hole healing in 6G network. The hypergraph model is used to construct a hypergraph H(V, E), where V is the set of vertices, i.e., the sensing nodes, and E is the set of hyperedges, i.e., the sensor coverage areas. In the HISMO, a novel heuristic approach is proposed to improve the slime mould optimization (HISMO) algorithm. HISMO is used to find a set of non-overlapping sensing nodes for coverage hole healing. Extensive simulations are carried out to compare the HISMO with other heuristic algorithms. The results show that the HISMO outperforms other algorithms in terms of the area of coverage hole healing and the number of coverage hole healing.