Energy Efficiency in Wireless Sensor Network

In recent years, many routing protocols have been proposed to improve the lifetime, energy efficiency, deployment of nodes, latency, fault tolerance, robustness, and reliability of Wireless Sensor Networks (WSN). The energy constraints and prolonging the lifetime of the WSN is very important role of routing protocols. Different cluster based routing protocol have proposed to improve the conventional protocols i.e. direct transmission, multi-hop routing, static clustering and minimum-transmission-energy. Among all cluster based protocols, Low-Energy Adaptive Clustering Hierarchy (LEACH) is the most prominent WSN protocol. In this project, we have tried to expand the LEACH by adding different features in LEACH for homogeneous and heterogeneous environments. We have proposed SEA LEACH (Special energy advanced node) by introducing proficient cluster head selection scheme and different transmitting power levels for LEACH in homogeneous environment. But, energy saving scheme of homogeneous environment is not suitable for heterogeneous environment. Stable Election Protocol (SEP) is the dynamic heterogeneous routing protocol. SEP is based on weighted election probabilities of each node to become the cluster head according to the remaining energy in each node. We propose advanced node LEACH by applying different ways of communication (between CH to sink) for advanced and normal nodes. By showing simulation, we prove that advanced node LEACH is more energy efficient and has longer lifetime of network than LEACH in homogeneous and heterogeneous environments.

[1]  Ian F. Akyildiz,et al.  Wireless sensor networks: a survey , 2002, Comput. Networks.

[2]  Lalit K. Awasthi,et al.  Maximize the Lifetime of Object Tracking Sensor Network with Node-to-Node Activation Scheme , 2009, 2009 IEEE International Advance Computing Conference.

[3]  Shideh Sadat Shirazi ENERGY EFFICIENT HIERARCHICAL CLUSTER -BASED ROUTING FOR WIRELESS SENSOR NETWORKS , 2015 .

[4]  Leonidas J. Guibas,et al.  Wireless sensor networks - an information processing approach , 2004, The Morgan Kaufmann series in networking.

[5]  JAMAL N. AL-KARAKI,et al.  Routing techniques in wireless sensor networks: a survey , 2004, IEEE Wireless Communications.

[6]  C. Yuen,et al.  Review on energy harvesting and energy management for sustainable wireless sensor networks , 2011, 2011 IEEE 13th International Conference on Communication Technology.

[7]  Lu Tao,et al.  An improvement for LEACH algorithm in wireless sensor network , 2010, 2010 5th IEEE Conference on Industrial Electronics and Applications.

[8]  Jun Zheng,et al.  Wireless Sensor Networks: A Networking Perspective , 2009 .

[9]  Indranil Gupta,et al.  Cluster-head election using fuzzy logic for wireless sensor networks , 2005, 3rd Annual Communication Networks and Services Research Conference (CNSR'05).

[10]  M. K. Jeya Kumar,et al.  Performance Analysis of MANET Routing Protocols in Different Mobility Models , 2009 .

[11]  D. K. Singh,et al.  Energy Efficient Homogenous Clustering Algorithm for Wireless Sensor Networks , 2010 .

[12]  Satish Kumar,et al.  Next century challenges: scalable coordination in sensor networks , 1999, MobiCom.

[13]  Rekha Jain,et al.  Wireless Sensor Network -A Survey , 2013 .

[14]  Anantha P. Chandrakasan,et al.  An application-specific protocol architecture for wireless microsensor networks , 2002, IEEE Trans. Wirel. Commun..

[15]  Xin-Ping Guan,et al.  A distributed energy-efficient clustering algorithm with improved coverage in wireless sensor networks , 2012, Future Gener. Comput. Syst..