No abstract

No abstract

The ever-increasing demand of electrical energy makes it necessary to develop an e ffi cient load demand management system for the electricity grids so that it gets converted into Smart grid. There are several standardized wireless communication technologies available for various smart grid applications among which (WiMAX) is seen as a well recognized technology able to fulfill the requirements of smart grid's applications namely wide area connectivity and the quality of service (QoS) differentiated services. This paper proposes a WiMAX based traffic priority model for smart grid connecting Neighborhood Area Network (NAN) and Home Area Network (HAN) serving five different applications. Parameters namely overall network delay, throughput and network capacity are studied using OPNET 14.5 and also the implications of the cell size, number of users and interpolling interval (IPT) are analyzed.

No abstract

No abstract

No abstract

Wavelength.routed all·opticailletworks have emerged as a popular architectural solution for wide area networb and are being conceived for future broad·band communications. Call conneclioll probabilily in such networks depend on the nlunber ofWDM wavelengths employed and Oll the capability for wavelength conversioli al network nodes. Equipping all the nerwork lIodes with wavelength converters to reduce the blockillg probability is Ilot a cast effective solution dueto the high cost of wavelellglh converlers. Hellce olily same of the nodes are 10 be equipped with wavelellglh converters. The objective oflhis paper is 10 atJdress the optimal placement of wavelenglh converters among Ihe network nodes. Here "placement" refers to providülg a network llode wilh wavelellgth conversion capability. This paper lUes simulated annealülg 10 delenllille Ihe location oflhe converters ÜI order to achieve ",ini",ulII blockillg probability. It is observed that this method significalllly reduces the lIumber of blockillg probability calculations and has beeil applied to a six hop palh alld to the '/4 nodes NSFNEf. The results are verified with the published literat ure. This melhod achieves optimal alld lIear·optimal solutions at low computational expellse and minimum prograllUllilig requiremem.

No abstract