Naseer Sabri Salimhttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/391902024-03-28T12:21:49Z2024-03-28T12:21:49ZMANET Routing Protocols Evaluation: AODV, DSR and DSDV PerspectiveFahad Taha, AL-DhiefNaseer, SabriM.S., SalimSarah, FouadSyed Alwee Aljunid, Syed Junidhttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/692092020-12-31T06:53:37Z2018-01-01T00:00:00ZMANET Routing Protocols Evaluation: AODV, DSR and DSDV Perspective
Fahad Taha, AL-Dhief; Naseer, Sabri; M.S., Salim; Sarah, Fouad; Syed Alwee Aljunid, Syed Junid
Mobile Ad Hoc Network (MANET) is a set of mobile nodes that communicate with each other to configure an immediate network without utilizing any of infrastructure, the centralized access point or centralized administration in multiple hop manner. There are a lot of routing protocols have been proposed in MANET which are different from each other in the performance and the mechanism. Therefore, the performance study of those protocols in different scenarios is needed. This paper presents the performance comparison between Dynamic Source Routing (DSR), Ad hoc on demand distance Vector Routing (AODV) as reactive routing protocols and Destination Sequenced Distance Vector (DSDV) as a proactive routing protocol to precisely determine which protocol is more effective. Network Simulator (NS) version 2.35 has used to simulate and evaluate the performance of these protocols in terms of the packet delivery ratio, average throughput, average end-to-end delay, and packet loss ratio with respect to the variable number of nodes.
Link to publisher's homepage at https://www.matec-conferences.org/
2018-01-01T00:00:00ZInvestigation of Empirical Wave Propagation Models in Precision AgricultureNaseer, SabriMohammed, S. S.Sarah, FouadSyed A. A.Fahad Taha, AL-DhiefAuda, Raheemahhttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/692072020-12-31T05:10:14Z2018-01-01T00:00:00ZInvestigation of Empirical Wave Propagation Models in Precision Agriculture
Naseer, Sabri; Mohammed, S. S.; Sarah, Fouad; Syed A. A.; Fahad Taha, AL-Dhief; Auda, Raheemah
Wireless Sensor Networks have highly proved its contribution in precision agriculture. Communication channel modelling investigation is a highly demanded to achieve a successful communication system where a good wave propagation model is crucially needed. Precision agriculture degrades the traveling waves in various forms in addition to the effects of the large-scale path losses models. This paper reviews the most known theoretical large-scale path losses models such as free space (FSPL) and Plane earth (PE) models as well as the vegetation models represented by Weissberger, ITU-R, FITU-R and COS235 models. Indeed, this work illustrates the effects of many factors on the total path losses such as separation distance between transceivers, antenna heights and the depth of vegetation that presence in the path propagation. In conclusion, the total path loss is computed based on large-scale path losses and the vegetation losses in protected vegetation environment.
Link to publisher's homepage at https://www.matec-conferences.org/
2018-01-01T00:00:00ZDesign and Implementation of an Embedded Smart Intruder Surveillance SystemNaseer, SabriM. S., SalimSarah, FouadSyed Alwee Aljunid, Syed JunidFahad Taha, AL-DhiefMohd Rashidi, Che Besonhttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/692062020-12-31T05:04:49Z2018-01-01T00:00:00ZDesign and Implementation of an Embedded Smart Intruder Surveillance System
Naseer, Sabri; M. S., Salim; Sarah, Fouad; Syed Alwee Aljunid, Syed Junid; Fahad Taha, AL-Dhief; Mohd Rashidi, Che Beson
Remote and scattered valuable and sensitive locations such as labs and offices inside university campus need efficient monitoring and warning system. As well as scattered area and belonging. This research presents a Real-Time intruder Surveillance System based on a single board computer (SBC). Thus the design and development of a cost effective surveillance management system based SBC that can be deployed efficiently in remote and scattered locations such as universities belonging. The fusion of embedded Python codes with SBC that attached to cameras, Long distance sensors, alerting circuitry and wireless module presents a novel integration based effective cost solution and enhances SBC of much flexibility of improvement and development for pervasive remote locations. The system proves the high integrity of smooth working with web application, it’s cost effective and thus can be deployed as many of units to seize and concisely covered remote and scattered area as well as university belonging and departments. The system can be administrated by a remote user sparsely or geographically away from any networked workstation. The proposed solution offers efficient stand alone, flexibility to upgrade and cheap development and installation as well as cost effective ubiquitous surveillance solution. In conclusion, the system acceptable boundaries of successful intruder recognition and warning alert are computed between 1m and 3m distance of intruder from system camera. Recognition rate of 95% and 83% are achieved and the successful warning alert were in the range of 86-97%.
Link to publisher's homepage at https://www.matec-conferences.org/
2018-01-01T00:00:00ZCognitive wireless sensor actor network: an agricultural perspectiveNaseer, SabriSyed Alwee Aljunid, Syed Junid, Prof. Dr.Muhammed Sabri, SalimRezuwan, Kamaruddin, Prof. Ir. Dr. Hj.R. Badlishah, Ahmad, Prof. Dr.Mohd Fareq, Abd Malek, Dr.http://dspace.unimap.edu.my:80/xmlui/handle/123456789/354062014-06-12T03:33:37Z2014-04-01T00:00:00ZCognitive wireless sensor actor network: an agricultural perspective
Naseer, Sabri; Syed Alwee Aljunid, Syed Junid, Prof. Dr.; Muhammed Sabri, Salim; Rezuwan, Kamaruddin, Prof. Ir. Dr. Hj.; R. Badlishah, Ahmad, Prof. Dr.; Mohd Fareq, Abd Malek, Dr.
Intelligent environments are exposing the next revolutionary steps of development technologies in automation of building, industrial, home, and transportation systems. The new generation of Wireless Sensor Actor Networks (WSANs) technologies of sensing the environment, computing and communicating advances at faster rates. It can be conceived that the world will eventually be covered by networks of autonomous smart sensor-actor nodes which yields revolutionary applications. Nowadays WSAN can be considered as passive networks of sensing the phenomena, while fusion of Artificial Intelligence (AI) concepts and algorithms into the network’s nodes provides those nodes with the ability to mimics the human behavior in sensing and reacting which give the network the ability to be autonomous for specific application. This paper presents the fusion of artificial intelligence represented by Fuzzy Inference System (FIS) with WSAN for greenhouse climate control. Smartness of current WSAN (SWSAN) is proposed based on FIS while the conventional control methods are not efficient in terms of energy, labor interference, productivity and flexibility. In this paper, Fuzzy Inference System (FIS) has been designed and fused within the coordinator node of WSAN, and hardware and software of networks nodes and sensors have been presented. Indeed, this paper describes the new era of cognitive WSAN based on AI paradigm and shows a reprehensive set of new applications and identifies several possibilities of creating the smartness concepts of currently Wireless Sensor-Actor Network (WSAN). The primary concept of automation, wireless technologies and cognitive approach of WSAN within diverse application and particularly for agriculture application are presented and discussed.
Link to publisher's homepage at http://www.ijicic.org/home.htm
2014-04-01T00:00:00Z