Medium access control with coordinated adaptive sleeping for wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
A Transmission Power Control MAC Protocol for Wireless Sensor Networks
ICN '07 Proceedings of the Sixth International Conference on Networking
NPC '07 Proceedings of the 2007 IFIP International Conference on Network and Parallel Computing Workshops
Immune system based distributed node and rate selection in wireless sensor networks
Proceedings of the 1st international conference on Bio inspired models of network, information and computing systems
Idiotypic Immune Networks in Mobile-Robot Control
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Power saving algorithms for wireless sensor networks on IEEE 802.15.4
IEEE Communications Magazine
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Wireless Sensor Networks (WSNs) provide an effective means to perform data acquisition in remote areas. However, limitations exist that prohibit their widespread use. In this paper, an object tracking algorithm based on Artificial Immune Systems (AIS) is proposed. Based on the immune network theory of AIS, the activities of wireless sensor nodes are stimulated by target in-coming objects but suppressed by other wireless sensor nodes based on a dynamic changing environment. When a sensor node is being suppressed, the sensor node will go to a low-power state momentarily, otherwise, it will be actively estimating the location of the target objects. In doing so, the energy efficiency of the overall network will be optimized through the dynamic stimulation and suppression of sensor nodes that is mediated by the immunity-based algorithm. A number of experiments are conducted to verify the algorithm in terms of the degree of accuracy in target tracking and the energy efficiency of the entire sensor network.