Optimal coverage along with connectivity maintenance in heterogeneous wireless sensor network

Abstract

Heterogeneous wireless sensor network (HWSN) is a network which contains sensor nodes with dissimilar capabilities, such as varying energy, sensing range etc. In Heterogeneous wireless sensor network, Coverage along with connectivity is one of the major issues. Coverage with no connectivity is meaningless in wireless sensor networks. In most of the existing work, coverage and connectivity is not provided efficiently for HWSN. The existing methods used in HWSN to attain coverage and connectivity are static and not applied in the dynamic environment. Optimal Coverage and connectivity maintenance not provided. Energy consumption should be concentrated to maximize the network lifetime. Preserving network connectivity at the same time maximizing coverage by using the less number of energy constrained sensor nodes is the most serious problem. To overcome these issues, in this work we put forward a technique called Coverage Scheduling and Power Aware Connectivity (CSPAC). Grouping the sensors into cluster by the strategy of Dynamic cluster formation. Identifying the minimum active set to provide Q-coverage by Artificial Bee Colony Optimization technique and maximize lifetime by mapping Power Aware Scheduling and Battery Discharge Value. Then Optimal Connectivity Management Technique for reachability to provide strong connectivity. By simulation results, we give you an idea that the proposed technique enhances the network coverage and connectivity in HWSN.