Multiparameter Based Energy Efficient Scheduling For Wireless Sensor Networks

Wireless sensor networks have become increasingly popular due to their wide range of applications. Energy consumption is one of the biggest constraints of the wireless sensor node and this limitation combined with a typical deployment of large number of nodes has added many challenges to the design and management of wireless sensor networks. At high temperature the transmission power and sensitivity will decrease which leads to the degradation of wireless links. To avoid that we have implemented a hybrid routing protocol: Zonal-Stable Election Protocol (Z-SEP) for heterogeneous WSNs. In this protocol, some nodes transmit data directly to base station while some use clustering technique to send data to base station as in SEP. We implemented Z-SEP and compared it with traditional Low Energy Adaptive Clustering Hierarchy (LEACH) and SEP. In addition, that energy can be optimized by scheduling the node to sleep mode and alive mode. Simulation results showed that Z-SEP enhanced the stability period and throughput than existing protocols like LEACH and SEP.