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This position paper introduces a novel wireless sensor and actor network (WSAN) framework for autonomous monitoring and maintenance of pipe and power line (oil, gas, water, electricity) infrastructures in an efficient and cost-effective manner. The main focus is on boosting the availability of lifeline infrastructures through advancements in the WSAN technology. First, we categorize and classify the...
As the process technology scales down and the number of bits per cell increases, NAND Flash memory is more prone to bit errors. In this paper, we employ a rate-0.96 (68254, 65536) Euclidean geometry (EG) low-density parity-check (LDPC) code for NAND Flash memory error correction, and evaluate the performance under binary input (BI) additive white Gaussian noise (AWGN) and NAND Flash memory channels...
The human neural system is comprised of millions of neural cells which are fully networked through synaptic connections. Each neuron receives the input through dendrites from neighboring nodes, in order to fire an action potential through its axon into the next neurons. In this paper, a biological communication network is modeled and a scenario is implemented to detect the damaged neural cells. For...
Current approaches in combating cancer employ nanoparticle-based therapies that harness biological and chemical phenomena to deliver anticancer drugs. Successful studies have shown the utility of leveraging biochemical cues to recruit nanoparticles to the tumor microenvironment. In this paper, we explore the possibility of using collaborative wireless nanobots or WiNoBots to efficiently target and...
In order to detect and cure diseases affecting microscopic regions of the human body, swarms of micro-robots can harness the motility of bacteria and swim towards inaccessible regions of the body to detect abnormal behavior and/or deliver various drugs. In this paper, we propose a modeling approach for the dynamics of dense networks of swarms and estimate their performance via stochastic metrics.
The emerging field of communications between nanoscale devices is one of considerable importance since it is essential that nanonetworks are formed to realize the potential of such devices. Molecular communication is a method based on diffusion, inspired by biological systems and useful over distances in the nm to μm range. Messenger molecules propagate via diffusion and there is thus a probability...
With the rate of mobile traffic growth eventually outpacing 4G technology upgrades, it appears crucial to explore new means to offload cellular networks. Exploitation of device-to-device opportunistic short range connectivity for offloading purposes is an intriguing and widely investigated direction, but might ultimately play a negligible practical role: in front of the huge overall content universe...
Clustering is an essential tool to facilitate the function of self-organizing peer-to-peer and sensor networks. The LEACH (Low-Energy Adaptive Clustering Hierarchy) algorithm for forming clusters in ad-hoc networks represents a probabilistic way of choosing cluster-heads which shows a large variation over the average link distances of clusters and leads to uneven energy consumption during the transmission...
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