PAMAS—power aware multi-access protocol with signalling for ad hoc networks
ACM SIGCOMM Computer Communication Review
Wireless sensor networks for habitat monitoring
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Spatial TDMA and CSMA with Preamble Sampling for Low Power Ad Hoc Wireless Sensor Networks
ISCC '02 Proceedings of the Seventh International Symposium on Computers and Communications (ISCC'02)
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)
Versatile low power media access for wireless sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
A unifying link abstraction for wireless sensor networks
Proceedings of the 3rd international conference on Embedded networked sensor systems
Monitoring Civil Structures with a Wireless Sensor Network
IEEE Internet Computing
Comparing energy-saving MAC protocols for wireless sensor networks
Mobile Networks and Applications
Sift: a MAC protocol for event-driven wireless sensor networks
EWSN'06 Proceedings of the Third European conference on Wireless Sensor Networks
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
Collision-minimizing CSMA and its applications to wireless sensor networks
IEEE Journal on Selected Areas in Communications
| Hi-index | 0.00 |
Sensor nodes in large-scale sensor networks autonomously and proactively report diverse information obtained from extensive target area to a base station, which is energy unconstrained node. To efficiently handle the variable traffic, we present Co-MAC, an energy efficient medium access control protocol for large-scale sensor networks. In Co-MAC, an overall network is divided into independent subnets, and each subnet orthogonally operates on time line in a temporal fashion. The novelty in this protocol is to evenly distribute sensor nodes in a certain geographic area to subnets at the association process with probability p. In our simulation, it was observed that energy efficiency of Co-MAC outperforms S-MAC by 6 times and T-MAC by 2 times under identical conditions. The reason for this phenomenon is that the overhearing frequency between sensor nodes is relatively lower in Co-MAC. The results of these analyses demonstrate that Co-MAC obtains significant energy savings.