Routing in Duty-Cycled Surveillance Sensor Networks
Author(s) -
Zhong Shen,
Peng Zhang
Publication year - 2013
Publication title -
international journal of distributed sensor networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.324
H-Index - 53
eISSN - 1550-1477
pISSN - 1550-1329
DOI - 10.1155/2013/520902
Subject(s) - computer science , wireless sensor network , correctness , sink (geography) , computer network , duty cycle , real time computing , routing (electronic design automation) , alarm , static routing , distributed computing , routing protocol , algorithm , power (physics) , physics , materials science , cartography , quantum mechanics , composite material , geography
In many surveillance sensor networks, sensors are scheduled to work in a duty-cycled mode (i.e., periodically switching between active states and sleeping states) in order to prolong the network lifetime. The duty-cycled mode saves sensors' energy but brings other issues. In surveillance applications (e.g., forest fire alarm or intruder detection), it is desired to report detected events to the sink node as soon as possible. However, the duty-cycled mode may increase the data delivery latency. In this paper, we study minimum-delay routing in duty-cycled surveillance sensor networks. As the minimum-delay routes are time dependent (i.e., they change with time) in duty-cycled sensor networks, routing becomes a challenging task. We propose a distributed routing algorithm to find the minimum-delay routes at any time from all nodes to the sink node. Further, all minimum-delay routes can be found in one execution of our routing algorithm. We further provide a distributed route maintenance algorithm for finding the minimum-delay routes when the network dynamically changes. We theoretically prove the correctness of the proposed algorithm, and extensive simulation results show that the performance of our algorithm outperforms other existing algorithms. © 2013 Zhong Shen and Peng Zhang.
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