A Collaborative Framework for Avoiding Interference Between Zigbee and WiFi for Effective Smart Metering Applications

Energy management is one of the foremost priorities of research in many countries across the world. The introduction of modern information and communication technologies (ICT) are transforming the existing power grid, towards a more distributed and flexible “Smart Grid” (SG). The wireless sensor networks (WSN) are considered for data communication and are generally, incorporated with actuators to implement the control actions remotely. The wireless technologies like ZigBee (for automation), WiFi (for internet) and Bluetooth (entertainment) work in the 2.4GHz band. The coexistence of different wireless technologies working in the common area is unavoidable. Hence, this phenomenon degrades the performance of each other, due to the interference phenomenon. The wireless nodes with high energy had a great influence on the performance of the nodes working with low energy. Under the influence of interference, the low-power nodes experience the uncertain sleep-wake scheduling and increased delays in channel occupation. Interference also results in, high packet error rates (PER), decreased throughput, and high energy consumption. Hence for overcoming the above problems, A collaborative framework for an effective interference management and its avoidance is proposed in this paper. The framework proposed assures the effective ZigBee communication by systematic channel scheduling operating even under the influence of Wi-Fi. The work proposed performs better even under extreme interference conditions and the results obtained shows enriched performance

VSRS: Variable Service Rate Scheduler for Low Rate Wireless Sensor Networks

This paper proposes a variable service rate scheduler VSRS for heterogeneous wireless sensor and actuator networks (WSANs). Due to recent advancement, various applications are being upgraded using sensor networks. Generally, traffic consists of delay sensitive and delay tolerant applications. Handling such traffic simultaneously is a critical challenge in IEEE 802.15.4 sensor network. However, the standard CSMA/CA does not focus on traffic-based data delivery. Therefore, this paper presents a solution for prioritybased traffic over no-priority i.e. regular traffic using CSMA/CA IEEE 802.15.4 MAC sublayer. The VSRS scheduler uses a queuing model for scheduling incoming traffic at an actor node using a dual queue. The scheduler updates priority of each incoming packet dynamically using network priority weight metric. The VSRS scheduler scans queues and picks the highest network priority packet. A packet weight is updated after selection from the respective queue. This core operation of an actor node offers good packet delivery ratio, throughput, and less delay experience of long distance traveled packets against no priority traffic. The work is validated using theoretical analysis and computer generated network simulators; proves that the priority based approach using weight factor works better over the First-Come-First-Serve (FCFS) mechanism

Enhanced delay-aware and reliable routing protocol for wireless sensor network

Wireless Sensor Networks (WSN) are distributed low-rate data networks, consist of small sensing nodes equipped with memory, processors and short range wireless communication. The performance of WSN is always measured by the Quality of Service (QoS) parameters that are time delay, reliability and throughput. These networks are dynamic in nature and affect the QoS parameters, especially when real time data delivery is needed. Additionally, in achieving end-to-end delay and reliability, link failures are the major causes that have not been given much attention. So, there is a demanding need of an efficient routing protocol to be developed in order to minimize the delay and provide on time delivery of data in real time WSN applications. An efficient Delay-Aware Path Selection Algorithm (DAPSA) is proposed to minimize the access end-to-end delay based on hop count, link quality and residual energy metrics considering the on time packets delivery. Furthermore, an Intelligent Service Classifier Queuing Model (ISCQM) is proposed to distinguish the real time and non-real time traffic by applying service discriminating theory to ensure delivery of real time data with acceptable delay. Moreover, an Efficient Data Delivery and Recovery Scheme (EDDRS) is proposed to achieve improved packet delivery ratio and control link failures in transmission. This will then improve the overall throughput. Based on the above mentioned approaches, an Enhanced Delay-Aware and Reliable Routing Protocol (EDARRP) is developed. Simulation experiments have been performed using NS2 simulator and multiple scenarios are considered in order to examine the performance parameters. The results are compared with the state-of-the-art routing protocols Stateless Protocol for Real-Time Communication (SPEED) and Distributed Adaptive Cooperative Routing Protocol (DACR) and found that on average the proposed protocol has improved the performance in terms of end-to-end delay (30.10%), packet delivery ratio (9.26%) and throughput (5.42%). The proposed EDARRP protocol has improved the performance of WSN

Studi Implementasi Manajemen Antrian WRED Untuk Menghindari Congestion Pada LR‐WPAN

Low Rate Wireless Personal Area Network (LR‐WPAN) merupakan standar protokol komunikasi yang dikembangkan grup IEEE 802.15.4, fokus pengembangannya adalah menciptakan arsitektur jaringan yang menggunakan daya rendah, memiliki jangkauan luas, dan transmisi data yang reliable. Salah satu produk dari LR‐WPAN adalah Zigbee. Fokus Zigbee pada pengiriman data yang reliable dapat terganggu bila terjadi congestion yang disebabkan padatnya aliran data di jaringan. Congestion tersebut dapat dihindari dengan menerapkan manajemen antrian yang tepat. Salah satu jenis manajemen antrian tersebut adalah weighed random early detection (WRED), kelebihan dari manajemen antrian WRED adalah mekanismenya tidak hanya fokus menghindaricongestion tapi juga mengakomodasi jenis paket yang perlu diprioritaskan pelayanannya. Implementasi manajemen antrian WRED pada Zigbee dilakukan guna mengukur kinerja arsitektur dalam mencegahcongestion yang pada penelitian ini disimulasikan menggunakan simulator Riverbed Modeler. Kinerja manajemen antrian dalam mencegahcongestion dianalisis menggunakan parameter global MAC delay, coordinator queue delay, coordinator throughput dan coordinator packet drop. Pengujian kinerja manajemen antrian dilakukan dengan membandingkan WRED terhadap manajemen antrian random early detection (RED), dimana kedua manajemen antrian menggunakan mekanisme min thresh dan max thresh untuk menghindaricongestion namun memiliki mekanisme seleksi yang berbeda. Dari hasil pengujian didapatkan dengan ukuran paket kecil dan max thresh kecil penggunaan WRED akan lebih optimal ditunjukkan dengan nilai parameter throughput yang lebih optimal 1.5%, sedangkan pada ukuran paket yang besar dan max thresh yang besar penggunaan RED akan lebih optimal ditunjukkan dengan nilai parameter throughput yang lebih optimal 0.6% dari WRED

Efficient Actor Recovery Paradigm For Wireless Sensor And Actor Networks

Wireless sensor networks (WSNs) are becoming widely used worldwide. Wireless Sensor and Actor Networks (WSANs) represent a special category of WSNs wherein actors and sensors collaborate to perform specific tasks. WSANs have become one of the most preeminent emerging type of WSNs. Sensors with nodes having limited power resources are responsible for sensing and transmitting events to actor nodes. Actors are high-performance nodes equipped with rich resources that have the ability to collect, process, transmit data and perform various actions. WSANs have a unique architecture that distinguishes them from WSNs. Due to the characteristics of WSANs, numerous challenges arise. Determining the importance of factors usually depends on the application requirements. The actor nodes are the spine of WSANs that collaborate to perform the specific tasks in an unsubstantiated and uneven environment. Thus, there is a possibility of high failure rate in such unfriendly scenarios due to several factors such as power fatigue of devices, electronic circuit failure, software errors in nodes or physical impairment of the actor nodes and inter-actor connectivity problem. It is essential to keep inter-actor connectivity in order to insure network connectivity. Thus, it is extremely important to discover the failure of a cut-vertex actor and network-disjoint in order to improve the Quality-of-Service (QoS). For network recovery process from actor node failure, optimal re-localization and coordination techniques should take place. In this work, we propose an efficient actor recovery (EAR) paradigm to guarantee the contention-free traffic-forwarding capacity. The EAR paradigm consists of Node Monitoring and Critical Node Detection (NMCND) algorithm that monitors the activities of the nodes to determine the critical node. In addition, it replaces the critical node with backup node prior to complete node-failure which helps balances the network performance. The packet is handled using Network Integration and Message Forwarding (NIMF) algorithm that determines the source of forwarding the packets (Either from actor or sensor). This decision-making capability of the algorithm controls the packet forwarding rate to maintain the network for longer time. Furthermore, for handling the proper routing strategy, Priority-Based Routing for Node Failure Avoidance (PRNFA) algorithm is deployed to decide the priority of the packets to be forwarded based on the significance of information available in the packet. To validate the effectiveness of the proposed EAR paradigm, we compare the performance of our proposed work with state-of the art localization algorithms. Our experimental results show superior performance in regards to network life, residual energy, reliability, sensor/ actor recovery time and data recovery

Navigating Complexity in an Internet of Things Era: A Case Study of Entrepreneurial Leadership in a Silicon Valley IoT Startup

Research into the inner-workings of high-tech startups in the field of leadership within the United States is needed. The accelerating impact of technology on society is clear. The Internet of Things (IoT) is a primary technology of an emergent era, the Fourth Industrial Revolution (Industry 4.0). Silicon Valley startups germinate many of these Industry 4.0 IoT technologies. The current understanding of leadership in IoT startups is often based on media reports. recounting villains and heroes. This is not that. This is a qualitative, normative case study based on the researcher’s insider status at an IoT startup. Insider case study research into leadership of this type is sparse. Based on a review of the literature, multiple one-on-one interviews were conducted with leaders in an IoT startup. An additional 12 interviews were conducted with leaders in the IoT startup field. This study asks: What does it take to lead an IoT startup in Silicon Valley? The data supported the use of Goffman’s (1959b) dramaturgy as an analytical tool for leadership. The leadership at IoT Inc. took on prescribed roles in formal and informal settings. Bourdieu’s (2020) social capital, habitus, and field concepts are also supported for analyzing IoT startups. The individuals at IoT Inc. used social capital, and exhibited habitus based on experiences and expertise while interacting with the IoT field. Chia’s (2013) process-orientation and application of knowledge types like techne, metis, and phronesis is supported. Leaders in the case study exhibited complexity-based leadership when pursuing opportunities in an environment of constrained resources. The data demonstrated that entrepreneurial leaders with accumulated social capital and habitus, who understand the dramaturgical context of an emergent technology field, can use forms of expert pragmatic knowledge to navigate the complexity in pursuit of a vision