In many of the electronic devices the major role is performed by micro-electro-mechanical systems (MEMS). The electronics field has a vast application where in MEMS contribution to this field is very much greater. The electronics has a greater application in the area of micro-electro-mechanical systems which has greater applications in biomedical, electronics. The capacity, sensitivity in the power and its size helps MEMS for various different applications in different fields. If a device has a greater resonant frequency which can also be used in all frequencies that is at normal frequencies wider bandwidth, then also the MEMS fabrication can be done. A surface micromachined accelerometer is analyzed which can be used for generating energy from the environment. The characteristic feature is analyzed for the surface micromachined accelerometer. A surface micromachined accelerometer is simulate with a geometry of 3 space dimensions with a domain number of 120 whose number of boundaries are 838 which contains 1733 number of edges with 1076 vertices. The surface micromachined accelerator with all these specifications is simulate using COMSOL and the performance has been analyzed for various parameters namely frequency, acceleration and load impedance. The results show that energy has been harvested using the surface micromachined accelerometer.

One of the major challenge in Wireless Sensor Networks (WSN’s) deployment is efficient energy consumption. Critical distance, proper routing algorithm and error control coding techniques can be used for energy optimization. As WSN contains a large number of power constrained sensors, the sensed data from the environment should be transmitted in a cooperative way to the base station (BS). The pattern of the clustering structure can extend the sensor network life time, reduce the total consumed energy and regulate the data transmission. Clustering concept combines group of sensors which are located in the same communication range. Some of the routing protocol like, SEED, LEACH, SEP, Z-SEP etc., suffers from idle listening problem, which cannot cope with an environment with sensor nodes. It leads to energy wastage across the network. To manage energy efficiency and traffic heterogeneity issues, a new routing protocol called enhanced energy efficient sleep awake aware intelligent sensor network (EEESAA) is proposed. Here, one sensor in each group will be in active mode whereas other sensors entered in sleep mode. Based on the nodes energy, sleep and awake node pairs will be altered. In the proposed method, one slot is allotted for group of pairs. The proposed approach is evaluated and compared against LEACH, SEP and Z-SEP protocols. Simulation results show that EEESAA protocol performs better than LEACH, SEP, Z-SEP in terms of cluster head selection, throughput, number of alive & dead nodes and network lifetime.