TY - JOUR
T1 - A routing framework for energy harvesting wireless nanosensor networks in the Terahertz Band
AU - Pierobon, Massimiliano
AU - Jornet, Josep Miquel
AU - Akkari, Nadine
AU - Almasri, Suleiman
AU - Akyildiz, Ian F.
N1 - Funding Information:
B.S., M.S., and Ph.D. degrees in Computer Engineering from the University of Erlangen-Nürn- berg, Germany, in 1978, 1981 and 1984, respectively. Cur- rently, he is the Ken Byers Chair Professor in Telecommu- nications with the School of Electrical and Computer Engi- neering, Georgia Institute of Technology, Atlanta, the Direc- tor of the Broadband Wireless Networking (BWN) Laboratory and the Chair of the Telecom munication Group at Georgia Tech. Since 2013, he is a FiDiPro Professor (Finland Distinguished Professor Program (FiDiPro) supported by the Academy of Finland) in the Department of Electronics and Communications Engineering, at Tampere University of Technology, Finland, and the founding director of NCC (Nano Communications Center). Since 2011, he is a Consulting Chair Professor at the Department of Information Technology, King Abdulaziz University (KAU) in Jeddah, Saudi Arabia. Since 2008, he is also an honorary professor with the School of Electrical Engineering at Universitat Politécnica de Catalunya (UPC) in Barcelona, Catalunya, Spain and the founding director of N3Cat (NaNoNetworking Center in Catalunya). He is the Editor-in-Chief of Computer Networks (Elsevier) Journal, and the founding Editor-in-Chief of the Ad Hoc Networks (Elsevier) Journal, the Physical Communication (Elsevier) Journal and the Nano Communication Networks (Elsevier) Journal. He is an IEEE Fellow (1996) and an ACM Fellow (1997). He received numerous awards from IEEE and ACM. His current research interests are in nanonetworks, Long Term Evolution Advanced (LTE-A) networks, cognitive radio networks and wireless sensor networks.
Funding Information:
Acknowledgments The authors would like to thank Dr. Pu Wang and Dr. M. G. Abbas Malik for their invaluable support in the preparation of this paper. The material presented in this paper is based upon work funded by King Abdulaziz University, under Grant No. (11-15-1432/HiCi). The authors, therefore, acknowledge technical and financial support of KAU.
PY - 2014/7
Y1 - 2014/7
N2 - Wireless NanoSensor Networks (WNSNs) will allow novel intelligent nanomaterial-based sensors, or nanosensors, to detect new types of events at the nanoscale in a distributed fashion over extended areas. Two main characteristics are expected to guide the design of WNSNs architectures and protocols, namely, their Terahertz Band wireless communication and their nanoscale energy harvesting process. In this paper, a routing framework for WNSNs is proposed to optimize the use of the harvested energy to guarantee the perpetual operation of the WNSN while, at the same time, increasing the overall network throughput. The proposed routing framework, which is based on a previously proposed medium access control protocol for the joint throughput and lifetime optimization in WNSNs, uses a hierarchical cluster-based architecture that offloads the network operation complexity from the individual nanosensors towards the cluster heads, or nano-controllers. This framework is based on the evaluation of the probability of saving energy through a multi-hop transmission, the tuning of the transmission power of each nanosensor for throughput and hop distance optimization, and the selection of the next hop nanosensor on the basis of their available energy and current load. The performance of this framework is also numerically evaluated in terms of energy, capacity, and delay, and compared to that of the single-hop communication for the same WNSN scenario. The results show how the energy per bit consumption and the achievable throughput can be jointly maximized by exploiting the peculiarities of this networking paradigm.
AB - Wireless NanoSensor Networks (WNSNs) will allow novel intelligent nanomaterial-based sensors, or nanosensors, to detect new types of events at the nanoscale in a distributed fashion over extended areas. Two main characteristics are expected to guide the design of WNSNs architectures and protocols, namely, their Terahertz Band wireless communication and their nanoscale energy harvesting process. In this paper, a routing framework for WNSNs is proposed to optimize the use of the harvested energy to guarantee the perpetual operation of the WNSN while, at the same time, increasing the overall network throughput. The proposed routing framework, which is based on a previously proposed medium access control protocol for the joint throughput and lifetime optimization in WNSNs, uses a hierarchical cluster-based architecture that offloads the network operation complexity from the individual nanosensors towards the cluster heads, or nano-controllers. This framework is based on the evaluation of the probability of saving energy through a multi-hop transmission, the tuning of the transmission power of each nanosensor for throughput and hop distance optimization, and the selection of the next hop nanosensor on the basis of their available energy and current load. The performance of this framework is also numerically evaluated in terms of energy, capacity, and delay, and compared to that of the single-hop communication for the same WNSN scenario. The results show how the energy per bit consumption and the achievable throughput can be jointly maximized by exploiting the peculiarities of this networking paradigm.
KW - Energy harvesting
KW - Nanonetworks
KW - Nanosensors
KW - Routing
KW - Terahertz Band
UR - http://www.scopus.com/inward/record.url?scp=84903819270&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84903819270&partnerID=8YFLogxK
U2 - 10.1007/s11276-013-0665-y
DO - 10.1007/s11276-013-0665-y
M3 - Article
AN - SCOPUS:84903819270
SN - 1022-0038
VL - 20
SP - 1169
EP - 1183
JO - Wireless Networks
JF - Wireless Networks
IS - 5
ER -