Immune system-based energy efficient and reliable communication in wireless sensor networks

2006-12-01
Atakan, Baris
Akan, Oezguer B.
Wireless sensor networks (WSNs) are event-based systems that rely on the collective effort of densely deployed sensor nodes. Due to the dense deployment, since sensor observations are spatially correlated with respect to location of sensor nodes, it may not be necessary for every sensor node to transmit its data. Therefore, due to the resource constraints of sensor nodes, it is imperative to select the minimum number of sensor nodes to transmit the data to the sink. Furthermore, to achieve the application-specific distortion bound at the sink, it is also of great significance to determine the appropriate sampling frequency of sensor nodes to minimize energy consumption. In order to address these needs, the Distributed Node and Rate Selection (DNRS) algorithm which is based on the principles of natural immune system is developed. Based on the B-cell stimulation in immune system, DNRS selects the: most appropriate sensor nodes that send samples of the observed event, i.e., designated nodes. The aim of the designated node selection is to meet the event signal reconstruction distortion constraint at the sink node with the minimum number of sensor nodes. DNRS enables each sensor node to distributively decide whether it is a designated node or not. In addition, to exploit the temporal correlation in the event data DNRS regulates the sampling frequency rate of each sensor node while meeting the application-specific delay bound at the sink. Based on the immune network principles, DNRS distributively selects the appropriate sampling frequencies of sensor nodes according to the congestion in the forward path and the event signal reconstruction distortion periodically calculated at the sink by Adaptive LMS Filter. Performance evaluation shows that DNRS provides the minimum number of designated nodes to reliably reconstruct the event signal and it regulates the sampling frequency of designated nodes to exploit the temporal correlation in the event signal with significant energy saving.

Suggestions

Immune system based distributed node and rate selection in wireless sensor networks
Atakan, Baris; Akan, Ozguer B. (2006-12-13)
Wireless sensor networks (WSNs) are event-based systems that rely on the collective effort of dense deployed sensor nodes. Due to the dense deployment, since sensor observations are spatially correlated with respect to spatial location of sensor nodes, it may not be necessary for every sensor node to transmit its data. Therefore, due to the resource constraints of sensor nodes it is needed to select the minimum number of sensor nodes to transmit the data to the sink. Furthermore, to achieve the application-...
Life time sensitive weighted clustering on wireless sensor networks
Alizadeh Jarchlo, Elnaz; Bazlamaçcı, Cüneyt Fehmi; Department of Information Systems (2013)
Wireless Sensor Networks typically include wireless sensor nodes with limited energy. Network lifetime and scalability are considered as two significant requirements for sensor network applications. In order to decrease energy consumption and increase network lifetime one can apply an efficient clustering method. The application of the clustering method proposed in this thesis (LTS-WCA) leads to reducing the energy cost and the transmission distance of each node by grouping the nodes in several clusters and...
Real-time coordination and routing in wireless sensor and actor networks
Shah, Ghalib A.; Bozyigit, Muslim; Akan, Ozgur B.; Baykal, Buyurman (2006-01-01)
In Wireless Sensor Actor Networks (WSAN), sensor nodes perform the sensing task and actor nodes take action based on the sensed phenomena in the field. To ensure efficient and accurate operations of WSAN, new communication protocols are imperative to provide sensoractor coordination in order to achieve energy-efficient and reliable communication. Moreover, the protocols must honor the application-specific real-time delay bounds for the effectiveness of the actors in WSAN.
Path planning and localization for mobile anchor based wireless sensor networks
Erdemir, Ecenaz; Tuncer, Temel Engin; Department of Electrical and Electronics Engineering (2017)
In wireless sensor networks, sensors with limited resources are distributed in a wide area. Localizing the sensors is an important problem. Anchor nodes with known positions are used for sensor localization. A simple and efficient way of generating anchor nodes is to use mobile anchors which have built-in GPS units. In this thesis, a single mobile anchor is used to traverse the region of interest to communicate with the sensor nodes and identify their positions. Therefore planning the best trajectory for th...
Wearable battery-less wireless sensor network with electromagnetic energy harvesting system
Chamanian, Salar; Ulusan, Hasan; Zorlu, Ozge; Baghaee, Sajjad; Uysal, Elif; Külah, Haluk (2016-10-01)
This paper presents a battery-less wireless sensor network (WSN) equipped with electromagnetic (EM) energy harvesters and sensor nodes with adjustable time-interval based on stored the energy. A wearable EM energy harvesting system is developed and optimized to power-up a typical wireless sensor mote from body motion. This is realized through characterization of the body motion and design of a compact EM energy harvester according to vibration frequencies generated during human running and walking. The harv...
Citation Formats
B. Atakan and O. B. Akan, “Immune system-based energy efficient and reliable communication in wireless sensor networks,” Cavalese, ITALY, 2006, vol. 69, p. 187, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/65354.