Energy Saving Schedule for Target Tracking Sensor Networks to Maximize the Network Lifetime

Target tracking sensor networks monitor and track the movement of a target object. Energy management in these sensor networks is crucial to prolong the network lifetime. We propose a new protocol EST (energy saving schedule for target tracking sensor networks) that provides a dynamic sleep schedule for the radios such that maximum energy is saved without affecting the sensors' activities. When there is no target, the communication modules of sensor nodes are put into sleep using a static schedule, except the border nodes. Interior nodes do not perform the sensing activity in the surveillance state. If a target arrives, the sleep schedule for the radios is changed dynamically in order to send the arrival message to neighboring sensors. By receiving the arrival message, the sleeping neighbor nodes start sensing. The objectives of our protocol are to (1) balance the lifetime of all the sensor nodes in the network to increase the network lifetime (2) reduce the energy consumption by activating the sensors only when the target arrives in that region. Simulation results show that EST provides a significant amount of energy savings and potentially increases the network lifetime by 25% more than S-MAC at low load

[1]  Bhaskar Krishnamachari,et al.  (www.interscience.wiley.com) DOI: 10.1002/wcm.503 An adaptive energy-efficient and low-latency MAC for tree-based data gathering in sensor networks , 2022 .

[2]  Katia Obraczka,et al.  Energy-efficient collision-free medium access control for wireless sensor networks , 2003, SenSys '03.

[3]  Biplab Sikdar,et al.  A protocol for tracking mobile targets using sensor networks , 2003, Proceedings of the First IEEE International Workshop on Sensor Network Protocols and Applications, 2003..

[4]  Deborah Estrin,et al.  An energy-efficient MAC protocol for wireless sensor networks , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[5]  K. Chakrabarty,et al.  Target localization based on energy considerations in distributed sensor networks , 2003, Proceedings of the First IEEE International Workshop on Sensor Network Protocols and Applications, 2003..

[6]  Prasant Mohapatra,et al.  Power conservation and quality of surveillance in target tracking sensor networks , 2004, MobiCom '04.

[7]  Cem Ersoy,et al.  MAC protocols for wireless sensor networks: a survey , 2006, IEEE Communications Magazine.

[8]  Parameswaran Ramanathan,et al.  Distributed target classification and tracking in sensor networks , 2003 .

[9]  Samir R. Das,et al.  Tracking moving targets in a smart sensor network , 2003, 2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484).

[10]  A. M. Abdullah,et al.  Wireless lan medium access control (mac) and physical layer (phy) specifications , 1997 .

[11]  Bhaskar Krishnamachari,et al.  An adaptive energy-efficient and low-latency MAC for tree-based data gathering in sensor networks: Research Articles , 2007 .

[12]  Cauligi Raghavendra,et al.  An Adaptive Energy-Efficient and Low-Latency MAC for Data Gathering in Sensor Networks , 2003 .

[13]  Koen Langendoen,et al.  An adaptive energy-efficient MAC protocol for wireless sensor networks , 2003, SenSys '03.

[14]  Bhaskar Krishnamachari,et al.  An adaptive energy-efficient and low-latency MAC for data gathering in wireless sensor networks , 2004, 18th International Parallel and Distributed Processing Symposium, 2004. Proceedings..

[15]  Akbar M. Sayeed,et al.  Detection, Classification and Tracking of Targets in Distributed Sensor Networks , 2002 .

[16]  Ye Sun,et al.  Power-efficient data dissemination in wireless sensor networks , 2003, MobiDe '03.