The active research in WSN field is free to improve network lifetime, which is vital. Several algorithms and protocols were developed but best is only one which is clustering algorithms which are increased a lot of significance in increasing the network sensor lifetime of each sensor nodes. In this research paper, a new protocol is developed by using advantageous properties of two different protocols and by removing disadvantage of each protocols which is Threshold Sensitive Stable Election Multi-Path Energy Aware Hierarchical Protocol (TSMEHP). This protocol defines how to choose cluster head (CH) with help of energy model and how optimal number of clusters can be computed, here use three energy levels of heterogeneity, Regular Nodes, Active Nodes, Smart Nodes. This paper proposed algorithm, in which work will be comparing with Seven different protocols namely, ESEP, LEACH, TEEN, SEP, EAMMH and TSEP with some general scenarios. This work will the analysis of simulation results and observations made with all these protocols are presenting overtakes regarding life time of sensing nodes. This protocol uses feather of TSEP and EAMMH protocols. TSEP is also being threshold based protocol with an additional feature of three levels of heterogeneity results in increased stability period and network life even greater than that of TEEN and node dead per round was also decreased. In this paper TSMEHP, responsive routing protocol is proposed where nodes with three different levels of energies. CH choice is grounded, due to 3 levels of heterogeneity and being responsive routing network protocol, it causes increase in constancy period and network life. Keywords: LEACH, TSAP, IEEE 802.11, Efficiency and Throughput, unicast and broadcast packet, network. EAMMH, TEEN.
I. INTRODUCTIONImprovements in wireless technologies and evolution of low cost sensor nodes have headed to introduction of low power wireless sensor networks. Due to multiple functions and comfort of deployment of the sensor nodes it can be used in various applications such as target tracking, environment monitoring, health care, forest fire detection, inventory control, energy management, surveillance and reconnaissance, and so on [1]. The main responsibility of the sensor nodes in a network is to forward the collected information from the source to the sink for further operations, but the resource boundaries [2], unreliable links between the sensor nodes in combination with the various application demands of different applications make it a difficult task to design an efficient routing algorithm in wireless sensor networks. Planning appropriate routing algorithms for different applications, achieving the different performance demands has been careful as a significant issue in wireless sensor networks. In this situation, many routing algorithms have been planned to improve the performance demands of various applications through the network layer of the wireless sensor networks protocol stack but most of them are founded on routing. Today, a wireless sen...