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Deshpande, Vivek
- Behavioral Analysis of Selfish Node in WSN
Authors
1 Department of Information Technology, MIT College of Engineering, Paud Road, Kothrud, Pune-38, IN
2 ITM College of Engineering, Nagpur, IN
3 MIT College of Engineering, Paud Road, Kothrud, Pune-38, IN
Source
Wireless Communication, Vol 4, No 4 (2012), Pagination: 177-180Abstract
Each node in Wireless Sensor Networks can communicate directly with other nodes in its radio communication range. If the destination node is not within the transmission range of the source node, the source node takes help of the intermediate nodes to communicate with the destination node by relaying the messages hop by hop. Hence the mutual cooperation and contribution of packet forwarding among the nodes in the network is needed. However, since the sensor nodes in this network are constrained with limited resources, such as CPU, battery, channel bandwidth and etc, some nodes in the network might not be willing to cooperate for the packet transmission, in order to save their resources. Each node has the goal to maximize its own benefits by enjoying network services and at the same time minimizing its contribution, so nodes may tend to be selfish. A selfish node does not intend to directly damage othernodes, but is unwilling to spend battery life, CPU cycles, or available network bandwidth to forward packets not of direct interest to it, even though it expects others to forward packets on its behalf. Consequently, cooperative behavior, such as unconditionally forwarding packets for others, cannot be taken for granted. The selfish behavior can significantly damage network performance.Keywords
Selfish Node, Wireless Sensor Networks.
- Analysis of Congestion for Root Causes in Wireless Sensor Network
Authors
1 Department of Information Technology, MIT College of Engineering, Paud Road, Kothrud, Pune-38, IN
Source
Wireless Communication, Vol 1, No 6 (2009), Pagination: 265-273Abstract
Wireless sensor network consist of sparse deployment of sensor nodes which generates data and need to transmit towards base station also called as sink, where the data get processed. Most of the time WSN deals with light load but when an interesting event occur it generate huge amount of data and transmit towards sink which intern causes congestion near the sink. The congestion result in arbitrary dropping of data, packets that reduces the overall network throughput. This motivates congestion control in wireless sensornetwork. To address this issue we need transport layer protocol which give reliable and congestion free network. In this paper, we first we discuss core functionalities, responsibilities and the need of the Transport Layer Protocol for Wireless Sensor Networks to address the upstream and downstreamcongestion control and reliability guarantee and review of some existing work that helps to summarize the existing transport layer problems in order to solve it. We mainly emphasizes on the various parameters, which help us to avoid the congestion in the wireless sensor networks. The parameters are: node density, non-linear or unbalanced distribution of load, input/output flow rate, processing / service time of node and reliability of network.
Keywords
Wireless Sensor Network, Wireless Communication, Congestion Control, Transport Layer Protocol.- Cross Layer Optimization in Wireless Sensor Network
Authors
1 MIT College of Engineering, Pune, IN
Source
Wireless Communication, Vol 1, No 6 (2009), Pagination: 291-298Abstract
The wireless sensor networks are the future of the networks, which depends on the number of applications. As we are talking about the network we have to consider the protocol, which is to be used to increase the performance of the network. Most of the time protocol used is not only for wired media but also for wireless is OSI protocol stack. Now a days most of the researchers focusing on cross layer design to increase the performance of the network by sharing the information between different layers. In this paper we focus on proposed design issues of cross layer design. The approach is to investigate the effects of the wireless channel and the physical layer performance of a small-scale wireless sensor network (WSN) to develop insights that can be used in the design and development of the optimization agent in the proposed cross-layer framework.