Energy balanced chain in IEEE 802.15.4 low rate WPAN

IEEE 802.15.4 Low Rate Wireless Personal Area Network (LR-WPAN) intends to provide low-power ubiquitous communications between devices. However, energy utilization by devices (or nodes) in the network often impacts the application functionality and lifetime due to limited battery capacity. For instance, in the typical multihop LR-WPAN used for data detection and monitoring, the traffic flow often converges to the data sink and such a many-to-one pattern typically results in energy imbalance. Previous research has proposed many approaches to solve this issue. However, a common limitation is about using the idealized energy model, such as “first order radio model”, which is the idealized estimation for RF transmission energy cost of the node. In this paper, we develop a realistic and representative LR-WPAN RF transceiver energy model from the measured data on Chipcon CC2420 and corresponding power control policy. Further, with this energy model, we formulate an optimized energy balanced chain (OEBC) model to maximize the network lifetime. Finally, the OEBC model is applied to develop the network deployment strategy by optimizing node placement, node density and traffic flow distribution.

[1]  S.A. Khan,et al.  Analyzing & Enhancing energy Efficient Communication Protocol for Wireless Micro-sensor Networks , 2005, 2005 International Conference on Information and Communication Technologies.

[2]  Wendi B. Heinzelman,et al.  General Network Lifetime and Cost Models for Evaluating Sensor Network Deployment Strategies , 2008, IEEE Transactions on Mobile Computing.

[3]  Jing Wang,et al.  Optimal traffic distribution in minimum energy wireless sensor networks , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[4]  Jose A. Gutierrez,et al.  Low-Rate Wireless Personal Area Networks: Enabling Wireless Sensors with IEEE 802.15.4 , 2003 .

[5]  Wendi Heinzelman,et al.  Energy-efficient communication protocol for wireless microsensor networks , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[6]  Hanif D. Sherali,et al.  Prolonging sensor network lifetime with energy provisioning and relay node placement , 2005, 2005 Second Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, 2005. IEEE SECON 2005..

[7]  R. Prema,et al.  Power Aware Routing Protocol (PARP) for Wireless Sensor Networks , 2012 .

[8]  Jing Wang,et al.  Extended energy model for the low rate WPAN , 2005, IEEE International Conference on Mobile Adhoc and Sensor Systems Conference, 2005..

[9]  Qin Wang,et al.  A Realistic Power Consumption Model for Wireless Sensor Network Devices , 2006, 2006 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks.

[10]  Ivan Howitt,et al.  Realistic energy model based energy balanced optimization for Low Rate WPAN network , 2009, IEEE Southeastcon 2009.

[11]  Pravin Varaiya,et al.  Optimal Placement of Relay Nodes for Energy Efficiency in Sensor Networks , 2006, 2006 IEEE International Conference on Communications.

[12]  Yi Qian,et al.  A time dependent performance model for multihop wireless networks with CBR traffic , 2010, International Performance Computing and Communications Conference.