A Wireless Sensor Network (WSN) consists of distributed autonomous sensors to monitor physical or various environmental conditions. Wireless sensor network is a rapidly growing area for research. Coverage without connectivity is meaningless in wireless networks. Coverage and connectivity is considered as a measure of quality of service (QoS). In most of the existing work, coverage and connectivity is not provided efficiently for heterogeneous WSN. The existing method used in heterogeneous WSN to attain coverage and connectivity is static. These existing methods are not applicable for the dynamic environment of heterogeneous WSN. Coverage is not made with constraints. Energy consumption should be concentrated to maximize the network lifetime. To provide coverage and connectivity for the heterogeneous WSN, Grouping the sensors into cluster by the strategy of Dynamic Cluster Formation criteria and to identifying the minimum active set to provide k-coverage. Maximize lifetime by weighted mean method. To propose a dynamic relative neighborhood method for reachability to provide strong connectivity.

Keywords: Coverage,  Connectivity,  Network  Lifetime,  Clustering,  Wireless  Sensor Network