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Das, Chandan Bikash
- A Survey on Various Route Optimization Techniques for Internet Applications in Network Mobility (NEMO)
Authors
1 Haldia Institute of Technology, Department of Computer Science, Haldia, Purba Midnapur, West Bengal, IN
2 Department of Mathematics, Tamralipta Mahavidyalaya, Tamluk, Purba Midnapur, West Bengal, IN
3 Department of Computer Science, Haldia Institute of Technology, Haldia, Purba Midnapur, West Bengal, IN
Source
Wireless Communication, Vol 5, No 12 (2013), Pagination: 441-452Abstract
The use of mobile networks is rapidly increasing day by day. There are two aspects in mobile networks such as host mobility and network mobility. The protocols are used for host mobility takes care of only single node to be connected with the internet. But, the protocols used for network mobility takes care of whole network to be connected with the internet using mobile router. The need for Networks Mobility(NEMO) support is inevitable in mobile platforms such as car, bus, train, air-plane, etc. The Mobile Internet Protocol version 6 (MIPv6) and NEMO Basic Support Protocol (BSP) is used to support host mobility and network mobility, respectively. The NEMO BSP introduces several advantages, such as reduced signaling, increased manageability, reduced power consumption and conservation of bandwidth when compared to MIPv6 to be used in the mobile platforms. The NEMO BSP also suffers from a number of limitations, like inefficient route and increased handoff latency. This paper targets to analyze network mobility issues and requirements. The aim is to explore the idea of route optimization (RO) in NEMO. After discussing the need of route optimization in NEMO, different solutions provided so far are discussed and analyzed. Still a lot of work is required to be done in the field of route optimization in NEMO. The objectives of this survey are to identify, classify RO mechanisms and to select suitable RO mechanisms to enhance Quality of Service (QoS) in different kinds of internet applications. All these issues are explained to provide a future scope of studies in this field.
Keywords
Mobile IPv6, Route Optimization, NEMO Basic Support Protocol, Route Optimization, Internet Applications, Signaling Overhead, Delay, Quality of Service.
- Comparative Performance Analysis of DSDV and AODV Routing Protocols in MANET using NS2
Authors
1 Haldia Institute of Technology, Department of Computer Science and Engineering, Haldia, Purba Midnapur, West Bengal, IN
2 Department of Mathematics, Tamralipta Mahavidyalaya,Tamluk, Purba Midnapur, IN
3 Department of Computer Science and Engineering, Haldia Institute of Technology, Haldia, Purba Midnapur, and West Bengal, IN
Source
Networking and Communication Engineering, Vol 5, No 12 (2013), Pagination: 536-544Abstract
A Mobile Ad hoc NETwork (MANET) is a kind of wireless ad-hoc network, and is a self configuring network of mobile routers (and associated hosts) connected by wireless links–the union of which forms an arbitrary topology. The routers are free to move randomly and organize themselves arbitrarily, thus the network's wireless topology may change rapidly and unpredictably. Such a network may operate in a standalone fashion, or may be connected to the larger Internet. There are various routing protocols available for MANETs. The most popular ones are DSR, AODV and DSDV. This paper examines two routing protocols for mobile ad hoc networks– the Destination Sequenced Distance Vector (DSDV), the table- driven protocol and the Ad hoc On- Demand Distance Vector routing (AODV), an On –Demand protocol and evaluates both protocols based on packet delivery ratio, Jitter, and control overhead while varying number of nodes and mobility speed. It is seen that AODV indicating its highest efficiency and performance under high mobility than DSDV, and the performance of TCP and UDP packets with respect to the Jitter, Control Overhead and PDR, and the performance of AODV is better than DSDV routing protocol for real time applications from the simulation results. A network simulator-2 (NS-2) called MobiREAL simulator has been designed and developed for performance evaluation of AODV and DSDV routing protocol in this paper. The simulation result analysis verifies the DSDV and AODV routing protocol performances.
Keywords
AODV, DSDV, Control Overhead, MANET, PDR, Jitter, NS-2 and QoS.- An Approach to Solve Capacitated Transportation Problem Under N-Vehicle Cost Varying Transportation Problem
Authors
1 Sonakhali Girl's High School, Sonakhali, Daspur, Paschim Midnapore, West Bengal, IN
2 Department of Mathematics, Tamralipta Mahavidyalaya, Tamluk, Purba Midnapur, West Bengal, IN
Source
Fuzzy Systems, Vol 5, No 7 (2013), Pagination: 191-204Abstract
In capacitated transportation problem there are some rim conditions or route restrictions. To obey this conditions, the vehicles are chosen such a way that their capacities are not violated the restriction.In urban region unit transportation cost is not fixed but the vehicles are pre-paid system in nature. So unit transportation cost depends on the transport quantities or amount. This type of transportation problems are known as cost varying transportation problem.
In this paper we represent a N-vehicle cost varying transportation model to solve capacitated transportation problem. In this model the transportation cost is vary due to capacity of vehicles as well as amount of transport quantity. At first we propose an algorithm to determine unit transportation cost with initial allocation to the basic cells by North-West corner rule. Then solve it. The unit transportation cost is varied during optimality test when allocations are changed.
Numerical examples are presented to illustrate the N-vehicle cost varying transportation problem (TVCVTP). Finally, comparison is given to show better effective of this model.
Keywords
Capacitated Transportation Problem, Cost Varying Transportation Problem, Basic Cell, Non-Basic Cell, North West Corner Rule.- Fuzzy Programming Approach to Multi-Objective Capacitated Transportation Problem under 2-Vehicle
Authors
1 Department of Mathematics, Tamralipta, Mahavidyalaya, Tamluk, Purba Midnapur, West Bengal, IN
Source
Fuzzy Systems, Vol 8, No 9 (2016), Pagination: 235-242Abstract
In this paper we represent a two-vehicle multi-objective cost varying transportation model to solve multi-objective capacitated transportation problem. In this multi-objective model the unit transportation cost varies due to capacity of vehicles as well as amount of transport quantities. The rim conditions of the multi-objective capacitated transportation problem redundance by the proper choice of vehicles. This converts to -vehicle multi-objective cost varying transportation model which is a Bi-level Mathematical programming model. To built this model, we propose an algorithm to determine unit transportation costs with initial allocation to the basic cells by North-West corner rule. Then determine unit transportation costs for non-basic cells. Then solve it by fuzzy programming technique. This methodology is illustrated through a numerical example with considering several type of membership functions.