Having seen the robust advantages of Wireless Sensor Networks' applications, many research works has been done to prolong the life time of the network. The objective of our research work is to find out a novel approach for synergetic improvement into the life time of WSN. Most of the approach mainly used only single technique to increase the life. In our research subject we have searched that "Is the systematic combination of more than one technique can provide more improvement?" In this paper we have proposed "A Systematic Combined Approach" which combines multiple static and dynamic techniques. Increasing the life time of the network is based on lower energy consumption and higher degree of balanced consumption of energy. Lower energy consumption can be achieved by reducing the volume of data and the distance to be travel by data. This approach uses some powerful data processing node in the dense area of sensor nodes to reduce the volume of data. Optimal location of the base station, type1 relay nodes and type 2 relay nodes are used to reduce the Euclidean distance. Finally, we have applied a newly designed protocol "Average Energy Dynamic Clustered Protocol (AEDCP) as a dynamic technique for balanced consumption of energy. We have implemented this approach on a network simulator NS2 and compare the results with similar BEEGP (Balanced Energy Efficient Grouping Protocol), and we have found that the proposed approach is more energy efficient without compromising the performance.

In this paper, we propose a novel clustering protocol for wireless sensor and robot networks (WSRN) to ensure efficient energy usage and maintain maximum connectivity among the sensors. Our algorithm mainly works in two phases: (i) creates optimal number of clusters in the region of interest via threepoint centroidal voronoi diagram. (ii) aggregates data from the members of each cluster and transfers to base station. This protocol is designed using double layered adaptive clustering and unknown region exploration which can be changed when needed for specific application. Additionally, this protocol works without the prior knowledge of the deployment region. We compared the results with LEACH and LEACH-C as a proof of concept. Specifically, simulation results exploit higher level of performance improvement in terms of energy dissipation, node failure, transmission overhead, and data aggregation among large number of mobile sensors. Finally, we analyzed the protocol with different settings which manifest the viability of our design.

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