An Energy Efficient, Spontaneous, Multi-path Data Routing Algorithm with Private Key Creation for Heterogeneous Network

In the recent years many investigation studies are carried out in heterogeneous sensor networks owing to its countless applications in all fields like health care, defense, environment surveillance, industrial based applications etc. In general, heterogeneous network have many fruitful advantages as precise sensing of parameters, manipulation of sensed data and passing sensed dataset to a receiver point in an effective manner. This type of network may be incorporated in a large-scale environment in an unstructured network with energy limitations. As known that sensor has a defined amount of power, memory and coverage area. For realistic implementation of nodal point in the investigation premises, it should be defined in an effective manner both in physical and coverage metrics. Hence it is unavoidable to propose a methodology for the effective usage of power conservation to achieve an optimistic performance. Several research studies were carried out in former years based on Fuzzy technique, Neural Networks, genetic-algorithm and many more improved approaches. This paper proposes a Population based (Ant Colony Optimization-ACO) investigative approach for a multi-path data forwarding to heterogeneous network as spontaneous energy proficient multi-path data routing (SEPMDR). In the initial stage, the proposed approach discovered its efficient neighboring sensor nodal before forwarding data packets with improvised data security factor. The privacy in the data transmission is implemented by using security key generation for each data transmission carried out in the heterogeneous network. The stability of the proposed technique in terms various network parameters with previously defined research strategies is evaluated and simulation results are conferred with Network Simulator Tool.