Minimizing latency in wireless sensor networks: a survey
ACST'07 Proceedings of the third conference on IASTED International Conference: Advances in Computer Science and Technology
Scalable medium access control for in-network data aggregation
Proceedings of the fifth international workshop on Foundations of mobile computing
QDMAC: An Energy Efficient Low Latency MAC Protocol for Query Based Wireless Sensor Networks
ICDCN '09 Proceedings of the 10th International Conference on Distributed Computing and Networking
Limiting end-to-end delays in long-lasting sensor networks
Proceedings of the 8th ACM international workshop on Mobility management and wireless access
ILA: idle listening avoidance in scheduled wireless sensor networks
WWIC'10 Proceedings of the 8th international conference on Wired/Wireless Internet Communications
Journal of Network and Computer Applications
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Energy management in sensor networks is crucial to prolong the network lifetime. Though existing sleep scheduling algorithms save energy, they lead to a large increase in end-to-end latency. We propose a new Sleep schedule (Q-MAC) for Query based sensor networks that provides minimum end-to-end latency with energy efficient data transmission. Whenever there is no query, the radios of the nodes sleep more using a static schedule. Whenever a query is initiated, the sleep schedule is changed dynamically. Based on the destination's location and packet transmission time, we predict the data arrival time and retain the radio of a particular node, which has forwarded the query packet, in the active state until the data packets are forwarded. Since our dynamic schedule alters the active period of the intermediate nodes in advance by predicting the packet arrival time, data is transmitted to the sink with low end-to-end latency.The objectives of our protocol are to (1) minimize the end-to-end latency by alerting the intermediate nodes in advance using the dynamic schedule (2) reduce energy consumption by activating the neighbor nodes only when packets (query and data) are transmitted. Simulation results show that Q-MAC performs better than S-MAC by reducing the latency up to 80% with minimum energy consumption.