The broadcast storm problem in a mobile ad hoc network
Wireless Networks - Selected Papers from Mobicom'99
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)
Computer
A utility-based sensing and communication model for a glacial sensor network
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Deploying a Wireless Sensor Network in Iceland
GSN '09 Proceedings of the 3rd International Conference on GeoSensor Networks
Energy-efficient low duty cycle MAC protocol for wireless body area networks
IEEE Transactions on Information Technology in Biomedicine - Special section on body sensor networks
A utility-based adaptive sensing and multihop communication protocol for wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
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Wireless sensor networks demand the need to design practical and robust communication protocols to meet the application specifications. Our research focuses on designing and implementing an environmental sensor network to be used for sub-glacial study. The glacier is a very hostile environment presenting severe challenges and complications in the smooth functioning of such a network. In light of these challenges, we present a low power sensor node design and an energy-efficient medium access control protocol called GWMAC developed for a network deployed in a glacier in Norway. The general architecture of GWMAC is based on scheduling and time division multiple accesses (TDMA). We argue that for a highly dynamic network such as ours, GWMAC is more desirable over more widespread protocols such as S-MAC and LMAC. In doing so, we perform extensive series of simulations to empirically evaluate our claim. Our results illustrate that on average GWMAC can increase the network life time by at least 63%. This also has a significant effect on the amount of data that can be collected over network life time.