TY - GEN
T1 - Energy efficient cross-layer routing protocol in Wireless Sensor Networks based on fuzzy logic
AU - Jaradat, Toleen
AU - Benhaddou, Driss
AU - Balakrishnan, Manikanden
AU - Al-Fuqaha, Ala
PY - 2013
Y1 - 2013
N2 - Resources are scarce in Wireless Sensor Networks (WSN) and one of the challenges is to design a lightweight communication protocol to support efficient and uniform power consumption among nodes. In this paper, we propose an energy aware routing scheme based on a cross-layer approach for WSNs with the objective to minimize the overall consumed energy; thus, maximizing the network lifetime. The remaining battery reserve capacity, link quality and transmission power for nodes within the local communication range are taken into consideration to determine the next hop relay node to reach the network sink. Parameters from different stack layers (i.e., physical, MAC, and network) are presented to a fuzzy logic system controller which makes a next hop routing decision. The performance of the proposed cross-layer algorithm is evaluated using discrete event simulation (OMNET++ Modeler).
AB - Resources are scarce in Wireless Sensor Networks (WSN) and one of the challenges is to design a lightweight communication protocol to support efficient and uniform power consumption among nodes. In this paper, we propose an energy aware routing scheme based on a cross-layer approach for WSNs with the objective to minimize the overall consumed energy; thus, maximizing the network lifetime. The remaining battery reserve capacity, link quality and transmission power for nodes within the local communication range are taken into consideration to determine the next hop relay node to reach the network sink. Parameters from different stack layers (i.e., physical, MAC, and network) are presented to a fuzzy logic system controller which makes a next hop routing decision. The performance of the proposed cross-layer algorithm is evaluated using discrete event simulation (OMNET++ Modeler).
KW - Cross layer design
KW - Energy efficiency
KW - Fuzzy logic system
KW - Link quality
KW - Routing protocol
KW - Wireless sensor networks
UR - http://www.scopus.com/inward/record.url?scp=84883665339&partnerID=8YFLogxK
U2 - 10.1109/IWCMC.2013.6583555
DO - 10.1109/IWCMC.2013.6583555
M3 - Conference contribution
AN - SCOPUS:84883665339
SN - 9781467324793
T3 - 2013 9th International Wireless Communications and Mobile Computing Conference, IWCMC 2013
SP - 177
EP - 182
BT - 2013 9th International Wireless Communications and Mobile Computing Conference, IWCMC 2013
T2 - 2013 9th International Wireless Communications and Mobile Computing Conference, IWCMC 2013
Y2 - 1 July 2013 through 5 July 2013
ER -