Mo Haghighi

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—In this paper we describe the design and implementation of Sensomax, a novel agent-based middleware for wireless sensor networks (WSNs), which is written in Java and runs on networks of various Java-enabled embedded systems ranging from resource-constrained Sun Spot nodes to resource-rich Raspberry Pi boards. Programming WSNs tends to be a complex task for(More)
WSNs have gained increasing attention for monitoring various variables of interest for wide variety of applications ranging from tracking environmental conditions to medical and structural monitoring. There are many WSN hardware platforms with a wide range of on-board resources. There also exist many software solutions for programming and re-programming(More)
Many engineering disciplines have become reliant on WSNs in order to detect and track certain events of interest by monitoring various parameters, through a number of spatially distributed wireless sensors. Due to resource constraints of sensor hardware, traditional WSN applications involved exchanging an excessive amount of data, usually in an offline(More)
  • Mo Haghighi
  • 2013
WSNs have gained increasing attention for monitoring various parameters of interest for a wide variety of applications, ranging from environmental conditions to healthcare. WSNs aimed at medical and healthcare applications are known as Wireless Body Area Network or WBANs. WSNs are very resource-constraint and mostly deployed in environments where physical(More)
With wireless sensor networks (WSN) now readily available and capable of monitoring multiple physical phenomena over time, large volumes of data can now easily be generated in the form of multiple co-evolving data streams. This presents a number of challenging tasks for the analyst, who often seeks to monitor such data in real-time for the purposes of(More)
Current applications of Internet of Things (IoT) often require nodes to implement logical decision-making on aggregated data, which involves more processing and wider interactions amongst network peers, resulting in higher energy consumption and shorter node lifetime. This paper presents a game theoretic approach used in Sensomax, an agent-based WSN(More)
AAL platforms for health and care purposes are designed to be used by diverse stakeholders, such as household residents, carers and healthcare professionals, with equally diverse needs. Reducing the latency of such systems is key to achieving a positive user experience, as well as enabling appropriate responses to critical incidents. This paper introduces a(More)
—Wireless Sensor Networks (WSNs) have become a mainstream for observing various variables of interest for a wide variety of applications, ranging from monitoring environmental parameters to medical, military and structural health conditions. Severe resource constraints of WSNs necessitate an efficient software layer, which acts as an intermediary between(More)