Wireless sensor networks are an important research area that has attracted considerable attention. Most of this attention, however, been concentrated on WSNs collect scalar data such as temperature and vibration. Scalar can be insufficient for many applications automated surveillance traffic monitoring. In contrast, camera sensors visual data, which rich in information hence offer tremendous potential when used WSNs. However, they raise new challenges the transmission with high computational...

Drawing inspiration from natural herding behaviours, shepherding provides a method for swarm guidance that utilizes steering agents and can be applied in biological robotics systems at various scales. However, while most research has relied on the precise sensing capabilities of agents, these assumptions do not necessarily hold real-world tasks. To fill gap between practice literature, this study, we demonstrate achieved via bearing-only measurements, explore minimum amount information...

Using randomness to find optimal solutions in selecting network paths.

Cyborg insects refer to hybrid robots that integrate living with miniature electronic controllers enable robotic-like programmable control. These creatures exhibit advantages over conventional in adaption complex terrain and sustained energy efficiency. Nevertheless, there is a lack of literature on the control multi-cyborg systems. This research gap due difficulty coordinating movements cyborg system under presence insects' inherent individual variability their reactions input. Regarding...

Autonomous intersection management (AIM) is gaining increasing attention due to its crucial role in ensuring safety and efficiency. Various methods have been proposed the literature address AIM problem, including traffic light optimization, connected vehicle optimization based on vehicle-to-anything (V2X) communication technology, multi-agent autonomous systems. However, each of these approaches has own limitations, such as parking delays, latency, or lack guaranteed collision avoidance....

Since sensor nodes operate on batteries, energy-efficient mechanisms for gathering data are indispensable in prolonging the lifetime of a network as long possible. In this paper, we propose novel clustering method where clusters organised distributed and self-organising way through local communication among nodes. Our is based idea ANTCLUST, algorithm which applies colonial closure model ants. Through simulation experiments, showed that our could gather from more than 80% nodes, longer other...

By deploying hundreds or thousands of microsensors and organizing a network them, one can monitor obtain information environments objects for use by users, applications, systems. Since sensor nodes are usually powered batteries, an energy-efficient data gathering scheme is needed to prolong the lifetime network. In this paper, we propose novel where periodically propagates from edge base station as propagation forms concentric circle. it unrealistic assume any type centralized control in...

This paper proposes a path-loss-based self-organized power resource selection method to suppress energy consumption in the grant-free power-domain non-orthogonal multiple access (GF-NOMA) for massive machine-type communications. The proposed uses taxis model, which autonomously controls swarm by virtual forces, i.e., attraction and repulsion. First, is based on path-loss value of each terminal its consumption. For example, repels with larger value, including line-of-sight (LoS) non-LoS...

This paper proposes a scalable framework to analyze the throughput of grant-free power-domain nonorthogonal multiple access (GF-NOMA) and presents achievable performance in optimized offered load at each power level (called per-level load) by using our framework. Our analytical model reflects packet errors caused collisions, characterized GF-NOMA, based on design guaranteeing required signal-to-interference-and-noise ratio (SINR). key idea enables analyzing large-scale GF-NOMA system more...

The Internet of Nano-Things will employ wireless sensor nodes that are not only extremely small in size and large number but also severely restricted their power supply. While a part the design such networks rely on engineering physical aspects, as developing technology for efficient energy harvesting, sensing, communication, significant role be played by algorithms underlying operation to ensure optimal use is made limited supply energy. This paper discusses concepts facilitate algorithms,...

In this paper, we discuss robustness issues of a biologically inspired routing protocol for mobile ad hoc networks and the influence it has on quality service (QoS) in system. Contrary to fixed network structures, are susceptible frequent topology changes due mobility churn participating nodes. Our goal is therefore provide fast recovery from connectivity failures, as well reaction path node or churn.

Taking into account requirements of sensor networks, we need fully-distributed and self-organising control mechanisms which are scalable to the size a network, robust failures nodes, adaptive different dynamically changing topology changes in wireless communication environment. To accomplish this goal, our research group focuses on behaviour biological systems, inherently scalable, robust. In paper, first verify practicality adopting reaction-diffusion equation, explains emergence patterns...

This paper proposes an analytical model for the throughput of grant-free power-domain non-orthogonal multiple access (called GF-NOMA) in massive machine-type communications, reflecting characteristics packet errors. GF-NOMA designs power resources levels) each terminal to autonomously satisfy decoding condition NOMA. design causes errors at higher-power levels than level used by terminals due non-orthogonality. Our proposed reflects this analyze more accurately related works. results...

This paper describes a distributed video transcoding system that can simultaneously transcode an MPEG-2 file into various coding formats with different rates. The transcoder divides the small segments along time axis and transcodes them in parallel. Efficient segment handling methods are proposed minimize inter-processor communication overhead eliminate temporal discontinuities from re-encoded video. We investigate how should be to obtain shortest total time. Experimental results show...

Applications that require the stringent reliability with delay constraint such as industrial process automation and patient monitoring have been emerged new area of applications wireless sensor networks (WSNs). This paper presents a per-flow reliability- delay-aware scheduling algorithm for WSNs. The proposed method adds time slots retransmission to each link in order satisfy required reliability. Furthermore, by sharing among different flows, achieves forwarding while suppressing increase...

For the realization of an Internet Things (IoT) with high densities devices it is necessary that wireless communication protocols are developed offer 1) low energy consumption; 2) simplicity encoding and decoding; 3) asynchronous mode communication; 4) effective but simple method to deal interference between transmissions. This paper presents implementation, experimentation, analysis a protocol on MAC sublayer encodes information in terms silent intervals pulses. Based representation...

In this paper, we propose and evaluate a selforganizing communication mechanism for wireless sensor networks where large number of nodes are deployed. To accomplish application-oriented periodic without any centralized controls, adopt traveling wave phenomena pulse-coupled oscillator model by regarding as oscillators emission radio signals firing. We first investigate conditions phase-response curve to attain wave-formed firing patterns regardless the initial phase oscillators. derived...

<abstract><p>In the context of theory multi-agent systems, shepherding problem refers to designing dynamics a herding agent, called sheepdog, so that given flock agents, sheep, is guided into goal region. Although several effective methodologies and algorithms have been proposed in last decade for under various formulations, little research has directed practically important case which contains sheep agents unresponsive sheepdog agent. To fill this gap, we propose algorithm...