As mobile devices evolve to be powerful and pervasive computing tools, their usage also continues increase rapidly. However, device users frequently experience problems when running intensive applications on the itself, or offloading remote clouds, due resource shortage connectivity issues. Ironically, most users' environments are saturated with significant computational resources. This paper argues that nearby can efficiently utilised as a crowd-powered cloud complement clouds. Node...

Edge, fog, and cloud computing provide complementary capabilities to enable distributed processing of IoT data. This requires offloading mechanisms, decision-making support for the dynamic availability resources, cooperation available nodes. paper proposes a novel 3-tier architecture that integrates edge, harness their collective strengths, facilitating optimised data across these tiers. Our approach optimises performance, reducing energy consumption, lowers costs. We evaluate our through...

Drones are rapidly finding their way into civilian applications, and mostly networked, enabling remote programming, connectivity with humans. However, drones limited by the weight they can carry battery power resulting in resources. Moreover, some applications require utilising multiple to act coordination. The combination of nearby devices (i.e. additional resources beyond drone capability) controlling a more convenient has potential overcome these limitations. This paper proposes examines...

With the proliferation of mobile devices, and their increasingly powerful embedded processors storage, vast resources surround users. We have been investigating concept on-demand ad hoc forming groups nearby devices in midst crowds to cooperatively perform computationally intensive tasks as a service local users, or what we call crowd computing. As can vary processing power some leave group unexpectedly new join in, there is need for algorithms that distribute work flexible manner still with...

With the proliferation of Internet Things (IoT) devices, there is a demand for technologies to support high-velocity, dynamic resource provisioning provide secure, cost-efficient, and real-time IoT services in resource-constrained environments. Conventional fog computing by itself cannot address such requirements needs be complemented with opportunistic computing, providing mobile resources on-demand. In this paper, we discuss key issues area, investigate potential solutions from existing...

By pooling together the processing power of mobile devices within a crowd to form 'mobile cloud', these be efficiently utilized help realize full potential computing. However, dynamic nature computing makes sharing and coordinating work non-trivial. Although never been used before in domain, concept stealing possesses useful traits such as self adaptiveness, decentralized that can with issues. Here we explore this 'work stealing' for on an opportunistic network devices, both machine human...

In order to give students an authentic learning experience and better prepare them for the life-long required in contemporary workplaces, educational institutions increasingly use project-based teams. However, this poses challenge of developing equitable assessment criteria that reflect individual contributions a team-work setting without jeopardizing project outcomes. We present novel innovative portfolio-based framework focuses on qualitative outcomes ensures level achievement reflects...

This paper explores a possible use-case of creating an integrated multiuser-multidevice interaction (2MUDI) model in IoT collectives, particular, aged care centre environment. A prototype has been designed and developed, which given name KATE. The system comprises Internet-connected robot(s), multiple mobile devices users. Family members the seniors admitted to centres can monitor via robot. Staff members, including doctors nurses, who look after these also interact with use robot(s). data...

Software engineering for mobile applications has its own challenges, different from when we engineer software just desktop environments. With the emergence of smart things (including everyday objects embedded with connectivity, computational ability, sensors, and sometimes actuators, urban robots such as delivery cleaning robots, street lighting, vehicles, park benches, so on) not within home but in public spaces, there is a need to consider challenges on things. Human-centred work ethical...

Internet-connected smart devices are increasing at an exponential rate. These powerful have created a yet-untapped pool of idle resources that can be utilised, among others, for processing data in resource-depleted environments. The idea bringing together "crowd computing" (CC) has been studied the recent past from infrastructural feasibility perspective. However, CC paradigm to successful, numerous socio-technical and software engineering (SE), specifically requirements (RE)-related factors...

In this paper, we investigate a policy based approach for managing socially appropriate interaction behaviours in Internet of Things (IoT) Collectives, i.e., collection IoT devices. particular, consider scenarios an aged care home environment. We have designed management framework with three different types rules - Authorisation, Obligation and Prohibition smart internet-connected devices centre where robots follow consensus-seeking processes while monitoring the elderly people. on...

This paper proposes a policy management framework which we call the SANIJO framework. comprises three different types of rules that are applicable to smart devices for managing their multiuser–multidevice interactions in IoT collectives, from socio-ethical perspective. We developed language help regulate and manage interaction behaviors internet-connected being deployed at an increasing rate around world. The classified into Authorization, Obligation, Prohibition prototyped system....

We propose Blockchain-enabled Device-enhanced Multi-access Edge Computing (BdMEC). BdMEC extends the Honeybee framework for on-demand resource pooling with blockchain technology to ensure trust, security, and accountability among devices (even when they are owned by different parties). mitigates risks from malicious making computations traceable. Our prototype results demonstrate BdMEC's ability manage distributed computing tasks efficiently securely across multiple devices.