A Faster Routing Scheme for Stationary Wireless Sensor Networks - A Hybrid Approach

A wireless sensor network consists of light-weight, low power, small size sensor nodes. Routing in wireless sensor networks is a demanding task. This demand has led to a number of routing protocols which efficiently utilize the limited resources available at the sensor nodes. Most of these protocols are either based on single hop routing or multi hop routing and typically find the minimum energy path without addressing other issues such as time delay in delivering a packet, load balancing, and redundancy of data. Response time is very critical in environment monitoring sensor networks where typically the sensors are stationary and transmit data to a base station or a sink node. In this paper a faster load balancing routing protocol based on location with a hybrid approach is proposed.

[1]  Mario Gerla,et al.  GloMoSim: A Scalable Network Simulation Environment , 2002 .

[2]  Samir Ranjan Das,et al.  Simulation‐based performance evaluation of routing protocols for mobile ad hoc networks , 2000, Mob. Networks Appl..

[3]  Hussein Al-Bahadili,et al.  An Effective Location-Based Power Conservation Scheme for Mobile Ad Hoc Networks , 2009 .

[4]  David E. Culler,et al.  Analysis of wireless sensor networks for habitat monitoring , 2004 .

[5]  Philippe Jacquet,et al.  Optimized Link State Routing Protocol (OLSR) , 2003, RFC.

[6]  V. K. Prasanna,et al.  Optimal energy-balanced algorithm for selection in a single hop sensor network , 2003, Proceedings of the First IEEE International Workshop on Sensor Network Protocols and Applications, 2003..

[7]  J F Shi,et al.  Study on Communication Mode of Wireless Sensor Networks Based on Effective Result , 2006 .

[8]  Na Wang,et al.  Performance analysis of probabilistic multi-path geographic routing in wireless sensor networks , 2009 .

[9]  Anantha Chandrakasan,et al.  Upper bounds on the lifetime of sensor networks , 2001, ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240).

[10]  Yao Rung Sensor Networking: Concepts, Applications, and Challenges , 2006 .

[11]  Sunayana Saha SYSTEM DESIGN ISSUES IN SINGLE-HOP WIRELESS SENSOR NETWORKS , 2003 .

[12]  Davide Brunelli,et al.  Wireless Sensor Networks , 2012, Lecture Notes in Computer Science.

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

[14]  Jorge Nuevo A Comprehensible GloMoSim Tutorial , 2004 .

[15]  Madihah Mohd Saudi,et al.  Performance Analysis of Routing Protocol for WSN Using Data Centric Approach , 2009 .

[16]  Kung Yao Sensor Networking: Concepts, Applications, and Challenges , 2006 .

[17]  Jan M. Rabaey,et al.  Does proper coding make single hop wireless sensor networks reality: the power consumption perspective , 2005, IEEE Wireless Communications and Networking Conference, 2005.

[18]  Ian F. Akyildiz,et al.  Wireless sensor networks , 2007 .

[19]  Charles E. Perkins,et al.  Highly dynamic Destination-Sequenced Distance-Vector routing (DSDV) for mobile computers , 1994, SIGCOMM.

[20]  David B. Johnson,et al.  The Dynamic Source Routing Protocol for Mobile Ad Hoc Networks , 2003 .

[21]  Deborah Estrin,et al.  Directed diffusion: a scalable and robust communication paradigm for sensor networks , 2000, MobiCom '00.

[22]  N. Beijar Zone Routing Protocol ( ZRP ) , 2002 .

[23]  Charles E. Perkins,et al.  Ad hoc On-Demand Distance Vector (AODV) Routing , 2001, RFC.

[24]  Edward J. Coyle,et al.  An energy efficient hierarchical clustering algorithm for wireless sensor networks , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).