Wireless Sensor Networks (WSNs) consist of large number of randomly deployed energy constrained sensor nodes. Sensor nodes have ability to sense and send sensed data to Base Station (BS). Sensing as well as transmitting data to- wards BS require high energy. In WSNs, saving energy and extending network lifetime are great challenges. Clustering is a key technique used to optimize energy consumption in WSNs. In this paper, we propose a novel clustering based routing technique: Enhanced Developed Distributed Energy Efficient Clustering scheme (EDDEEC) for heterogeneous WSNs. Our technique is based on changing dynamically and with more efficiency the Cluster Head (CH) election prob- ability. Simulation results show that our proposed protocol achieves longer lifetime, stability period and more effective messages to BS than Distributed Energy Efficient Clustering (DEEC), Developed DEEC (DDEEC) and Enhanced DEEC (EDEEC) in heterogeneous environments

Wireless Sensor Networks (WSNs) with their dynamic applications gained a tremendous attention of researchers. Con- stant monitoring of critical situations attracted researchers to utilize WSNs at vast platforms. The main focus in WSNs is to enhance network life-time as much as one could, for efficient and optimal utilization of resources. Different approaches based upon clustering are proposed for optimum functionality. Network life-time is always related with energy of sensor nodes deployed at remote areas for constant and fault tolerant monitoring. In this work, we propose Quadrature-LEACH (Q-LEACH) for homogenous networks which enhances stability period, network life-time and throughput quiet significantly

In past years there has been increasing interest in field of Wireless Sensor Networks (WSNs). One of the major issue of WSNs is development of energy efficient routing protocols. Clustering is an effective way to increase energy efficiency. Mostly, heterogenous protocols consider two or three energy level of nodes. In reality, heterogonous WSNs contain large range of energy levels. By analyzing communication energy consumption of the clusters and large range of energy levels in heterogenous WSN, we propose BEENISH (Balanced Energy Efficient Network Integrated Super Heterogenous) Protocol. It assumes WSN containing four energy levels of nodes. Here, Cluster Heads (CHs) are elected on the bases of residual energy level of nodes. Simulation results show that it performs better than existing clustering protocols in heterogeneous WSNs. Our protocol achieve longer stability, lifetime and more effective messages than Distributed Energy Efficient Clustering (DEEC), Developed DEEC (DDEEC) and Enhanced DEEC (EDEEC)

Wireless sensor networks and, particularly wireless body area networks (WBANs) are the key building blocks of upcoming generation networks. Modern health care system is one of the most popular WBAN application and a hot area of research in subject to present work. In recent years, research has focused on channel modeling, energy conservation and design of efficient medium access control (MAC) schemes. Less attention has been paid to the path-loss performance analysis. In this work, we propose LAEEBA (Link-aware and Energy Efficient scheme for Body Area Networks) which is a reliable, path loss efficient and high throughput routing protocol for WBANs. The characteristics of single-hop and multi-hop communication schemes have been utilized to reduce path-loss effects and increase network lifetime. A cost function is proposed to select the forwarder node on the basis of has high residual energy and minimum distance to sink. Residual energy parameter balances the energy consumption among the sensor nodes while distance parameter ensures successful packet delivery to sink. Simulation results show that LAEEBA protocol maximizes the network stability period and nodes stay alive for longer time, which contributes to sufficient decrease in the path-losses occurring in the links connecting sensors on a human body and hence transferring of data with much less losses. Results show better performance of our proposed protocol as compared to its given variants.