GPSR: greedy perimeter stateless routing for wireless networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
An adaptive energy-efficient MAC protocol for wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Medium access control with coordinated adaptive sleeping for wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
Maximizing the functional lifetime of sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Towards optimal sleep scheduling in sensor networks for rare-event detection
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Balanced-energy sleep scheduling scheme for high-density cluster-based sensor networks
Computer Communications
The capacity of wireless networks
IEEE Transactions on Information Theory
IEEE Communications Magazine
Wireless Personal Communications: An International Journal
Reliability of Wireless Sensor Network with Sleeping Nodes
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007
Impact of heterogeneity on the deployment of sensor networks
WICON '07 Proceedings of the 3rd international conference on Wireless internet
A moving algorithm for non-uniform deployment in mobile sensor networks
Mobility '08 Proceedings of the International Conference on Mobile Technology, Applications, and Systems
Wake-up receivers for wireless sensor networks: benefits and challenges
IEEE Wireless Communications
A connectivity based partition approach for node scheduling in sensor networks
DCOSS'07 Proceedings of the 3rd IEEE international conference on Distributed computing in sensor systems
On prolonging network lifetime by adjusting sleep/awake cycles in wireless sensor networks
INSS'09 Proceedings of the 6th international conference on Networked sensing systems
Joint routing and sleep scheduling for lifetime maximization of wireless sensor networks
IEEE Transactions on Wireless Communications
Ant colony optimization based sensor deployment protocol for wireless sensor networks
Expert Systems with Applications: An International Journal
A moving algorithm for non-uniform deployment in mobile sensor networks
International Journal of Autonomous and Adaptive Communications Systems
Self-triggered coordination of robotic networks for optimal deployment
Automatica (Journal of IFAC)
Deployment guidelines for achieving maximum lifetime and avoiding energy holes in sensor network
Information Sciences: an International Journal
Active node determination for correlated data gathering in wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Compression in wireless sensor networks: A survey and comparative evaluation
ACM Transactions on Sensor Networks (TOSN)
Compressed data aggregation: energy-efficient and high-fidelity data collection
IEEE/ACM Transactions on Networking (TON)
Hi-index | 0.00 |
Energy efficiency is a very critical consideration in the design of low cost sensor networks which typically have fairly low node battery life. This raises the need for providing periodic sleep cycles for the radios in the sensor nodes. Keeping sensors in sleep state also implies that node to sink communication incurs certain delays and there exists a threshold on the duty cycling for the communication delay to be bounded, giving rise to an upperbound on the lifetime of the network i.e., the time until at least one node in the network is able to communicate its sensed data to the sink. This paper aims at establishing tight analytical bounds on the sleeping probabilities of nodes and on the achievable lifetime of wireless sensor networks in a very generic setting. Bounds on the sleeping probability need to be satisfied for proper network functionality. Further, an energy efficient deployment scheme is suggested wherein the battery power depletion is fairly uniformly deployed throughout the network. This scheme makes use of the availability of low power auxiliary channel listening radio. With this scheme, we shown that an improvement in lifetime by a factor of O(√n overlog n) over uniform distribution of nodes is achievable, where n is the number of nodes in the network. We also show that the throughput capacity of the network is also improved by the same factor. We show also that the maximum lifetime of the network is bounded above by O(n3/2 over √log n). Further, the accuracy of our analysis is verified by the simulation results presented.