Browsing by Author "Bello-Salau, Habeeb"
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Item Feasibility Analysis of Integrated Hybrid Systems of Wireless Sensor Networks and Conventional Networks(IIUM Press, International Islamic University Malaysia, 2011-11-06) Salami, Abdulazeez Femi; Bello-Salau, Habeeb; Hussaini, Mukhtar; Anwar, FarhatServices are the main driving force of the telecommunication industry. The rapid growth of the Internet led to the proliferation of a wide variety of services that allow application users to exchange information in different ways. In order to increase the benefits derived from the Internet (IP) based services, the IP Multimedia Subsystem (IMS) was developed to support new value-added services in wireless networks. The objective of the IMS is the seamless integration of wireless communication networks and the Internet. One of the most flexible and suitable network that can potentially integrate with the Internet is Wireless Sensor Network (WSN). WSN is essentially a network of collaborating miniaturized devices known as sensor nodes. The features of WSN are unique and different from other conventional networks. This is because WSN is typically a data-oriented network where sensor nodes are deployed and tasked with the responsibility of sensing a desired geographical area in order to gain useful information about the environment and report to the base station for further processing and analysis by the interested applications. Afterwards, these applications store the processed data for demand-based delivery of enhanced services to the end user such as the provisioning of context-based services to mobile phone users. These applications are customarily located in an area remote to the WSN and the governing network where such applications reside is usually an external network (e.g. IMS). Therefore, the challenge is to smoothly integrate WSN with IMS in order for the sensed data to be easily accessible to IMS applications or services. This chapter explores the major techniques that are employed for the seamless integration of WSN and IMS network. This chapter also provides practical design recommendations for implementing a presence-based WSN-IMS architecture. This proffered architecture will provide a general platform to applications and services that needs to access various types of sensed data from the WSN. This chapter also gives a systematic description of the key procedures for the integration of WSN with other conventional networks and most especially, the important evaluation criteria for assessing the state-of-the-art hybrid systems in this field is provided in this chapter.Item Improved Clustering Routing Protocol for Low-Energy Adaptive Cluster-Based Routing in Wireless Sensor Network(Faculty of Technology Education, Abubakar Tafawa Balewa University, Bauchi, Nigeria, 2018-09-11) Bello-Salau, Habeeb; Onumanyi, Adeiza James; Salami, Abdulazeez Femi; Muslim, S.; Audu, W. M.; Abdullahi, U.Advancement in wireless sensor network (WSN) technology and sensor instrumentation has contributed to the development of novel protocols which are designed specifically for WSN, where conservation of energy is of utmost importance. Though, the performance of the clusterbased routing protocols is limited by problems related to determining an accurate and energyefficient radio model for the sensor nodes in the network. A number of radio models have been proposed to improve the performance of WSN clustering routing protocols but the basic assumptions and inaccurate configuration of these radio models make them ineffective and most time lead to poor utilization of the limited energy and computational resources. This paper addresses this challenge by proposing an improved radio model that incorporates specialized data transmission schemes, stepwise energy level and capable of adapting to frequent changes in the position of the motes without hindering the reliability of the data transmission to the sink, despite fluctuations due to signal interference. The proposed radio model was incorporated into the Low-Energy Adaptive Clustering Hierarchy (LEACH) protocol and called LEACH-IMP. The proposed LEACH-IMP shows a better performance in terms of the energy consumption, number of packets received, signal interference and network lifetime when compared to LEACH routing protocol.Item A Novel Biased Energy Distribution (BED) Scheme for Clustering Sensor Networks(Institute of Electrical and Electronics Engineers (IEEE), IEEE Malaysian Section, 2011-07-05) Salami, Abdulazeez Femi; Anwar, Farhat; Bello-Salau, Habeeb; Aibinu, Abiodun MusaThis paper presents the impact of utilizing a biased energy distribution (BED) scheme among sensor nodes for clustering sensor networks. In clustering sensor networks, some of the nodes are elected as aggregators and they compress the data from their cluster members before sending the aggregated data to the sink. Existing clustering routing protocols assume that all the nodes are provided with equal amount of energy but this shortens the network lifetime and makes the network unstable once the first node dies. This paper proposes a solution by using a technique that prioritizes the network into higher and lower energy nodes. The aim of this approach is to ensure well balanced energy consumption in order to maximize network lifetime. It is shown by simulation that the proposed technique exhibits better performance when compared to existing clustering routing techniques in terms of throughput, network lifetime and energy consumption.Item A Novel Biased Energy Distribution (BED) Technique for Cluster-Based Routing in Wireless Sensor Networks(Massey University, New Zealand, 2011-06-06) Salami, Abdulazeez Femi; Bello-Salau, Habeeb; Anwar, Farhat; Aibinu, Abiodun MusaThis paper presents the impact of utilizing a biased energy distribution (BED) scheme for clustering sensor networks. In clustering sensor networks, some of the nodes are elected as aggregators and they compress the data from their cluster members before sending the aggregated data to the sink. Existing clustering routing protocols assume that all the nodes are provided with equal amount of energy but this shortens the network lifetime and makes the network unstable. This paper proposes a solution prioritizing the network into higher and lower energy nodes. The aim of this approach is to ensure well balanced energy consumption in order to maximize network lifetime. It is shown by simulation that the proposed technique exhibits better performance when compared to existing clustering routing techniques in terms of throughput, network lifetime and energy consumption.Item Practical Applications and Design Challenges of Wireless Heterogeneous Sensor Networks(IIUM Press, International Islamic University Malaysia, 2011-11-06) Salami, Abdulazeez Femi; Anwar, Farhat; Bello-Salau, Habeeb; Hussaini, MukhtarAs a result of the technological advancements in information and communication technology, the field of wireless sensor network (WSN) has witnessed rapid progress over the last decade. Customarily, a WSN is made up of a number of wireless networked low-power sensor nodes, each of which is designed with an in-built microprocessor, radio transceiver and limited storage, computational and energy resources. Nowadays, WSN are deployed in environments where conventional wireless networks operate, therefore heterogeneity is becoming an essential factor in WSN design because key design features like processing power, communication ability, sensing techniques, energy resources and computational capability have to be fine-tuned to adapt to conventional wireless network requirements and scenarios. By implementing a heterogeneous network of WSN and conventional wireless networks, the potential and performance of the sensor nodes will be greatly enhanced and most especially, the WSN will have the significant advantage of having a wider coverage area and adaptability for different types of applications. A lot of unique and interesting challenges arise when WSN is incorporated and enhanced with heterogeneity due to the demand to adapt and perform well with a number of other target applications. As a result of the aforementioned challenges, this chapter is motivated by demands from industrialists and researchers to investigate and bring out the feasible applications and design challenges of developing a reliable and energy-efficient wireless heterogeneous sensor network.