Distributed Deployment Model For Congestion Control In Wireless Sensor Network



The influence of wireless sensor networks (WSN) are generally carried by the communication medium losses, application that are diversified, deployed heavily, with limited processing power and less capacity for storing the event data, and having change often in the topology. Limitations mentioned above for providing vital and exclusive design challenges for employing in controlling data packets transport in wireless sensor networks. Consideration of reliable transport protocol is a must for data delivery reliability, energy efficiency, and mitigating congestion. The latter is considered to be vital, crucial and critical for dependence on throughput and lifetime and healthiness of network. Earlier several protocols proposal in the literature, but lessening congestion in WSN still remains open and challenging.

Review and sorting out some protocols from the review of literature is provided here in the paper. Primarily, depend on the policy to control the protocols are divided into resource control and traffic control. Traffic control protocols are reactive or preventive with respect to traffic adjusting. The resource control protocols are classified into type of resource for adjusting further.

With increase of Wireless Sensor Network (WSN) technologies there is demand of optimal sensor node deployment for considering one of the most important factors that directly affect the network coverage. Many researches in WSNs could solve the issue of coverage in homogeneous and heterogeneous cases but suffered from drawbacks such as energy consumption, congestion and delay.

A very important area in wireless sensor networks (WSN) congestion control, where there is traffic that becomes more greater than the combined or with the individual capacity of the primary channels. Thought is much required for developing extreme techniques that are much more sophisticated for avoiding, detecting, resolving congestion. With having resources that are very much constrained in the nature of WSN these all should be measured while planning techniques in achieving the throughput which should be maximum attainable. A range of approaches were carried in the past which are including some various routing protocols which are aided with congestion detection, congestion notification and control mechanism, wherein some dedicated protocols exclusively for congestion control. Earlier schemes, for avoidance of congestion were executed by the sink node which used to cause a topology reset and and finally a bulk traffic drop. The consequences measured for the latter mentioned congestion control protocols addressing the here the avoidance of congestion, detection, and resolution were introduced at the node level. This paper explores mechanisms for controlling congestion in the WSNs and presents a comparative study. The congestion control schemes are sorted out as centralized with partial congestion control and distributed with dedicated congestion control.

In this paper, we propose a deployment model based on packet intersection priority transmission for achieving balance between the network performance and transmission in heterogeneous wireless sensor network (HEWSN).

The proposed model is deployment streamline of HEWSN nodes making a balance between the coverage and financial cost.

Performance of the proposed model is analyzed in terms of energy estimation, minimizing delay and alleviating congestion. The simulation result shows the capability of the proposed distribution deployment model to achieve minimum coverage, no delay in arrival of data packet for a distributed deployment. Furthermore, a comparative study with LEACH protocol has also been conducted, and results confirm the superiority of the proposed model.