Topology control in the presence of jammers for wireless sensor networks

Abstract

In this paper, the problem of ensuring packet delivery ratio and high network lifetime in wireless sensor networks in the presence of single or multiple jammers is studied using single-leader-multiple-followers Stackelberg game theory. A topology control scheme is proposed, in which the sink node, which acts as the leader, identifies the set of jamming affected nodes. On the other hand, the sensor nodes, which act as followers, need to decide an optimum transmission power level, while ensuring an optimal set of neighbor nodes covered. A scheme, named TC-JAM, for ensuring packet delivery ratio, while avoiding jammers and increasing network lifetime in wireless sensor networks, is proposed. In existing literatures, the sensor nodes are envisioned to be equipped with multiple interfaces, while having access for multiple channels. However, in TC-JAM, the sensor nodes have simple hardware with single interface for communication, ie, the sensor nodes have single channel for communication. Additionally, in the proposed scheme, TC-JAM, each sensor node has a provision to vary its transmission power according to the chosen strategies. Using TC-JAM, the energy consumption of the overall network reduces by up to 62%, and the network lifetime increases by 56% to 73%. KEYWORDSDynamic transmission power level model, jammer, network lifetime, stackelberg game, topology control, wireless sensor network 1 Int J Commun Syst. 2017;30:e3289.wileyonlinelibrary.com/journal/dac

A Statistical Approach to Detect Jamming Attacks in Wireless Sensor Networks

“…QUJDA also ensures that sensor nodes relate with their neighbours to achieve a higher detection rate. A game theory approach has been proposed in [ 24 ] to ensure a high network lifetime and packet delivery ratio during multiple or single jammer attack in WSN using single-leader multiple-followers Stackelberg game theory. This approach, TC-JAM, uses a topological control technique, where the sink node acts as a leader to track nodes that have been affected by jamming attack.…”

Fuzzy logic–based jamming detection algorithm for cluster‐based wireless sensor network

“…An adaptive scheme proposed for reducing the jamming effect, while adjusting the minimum contention window in the IEEE 802.11 MAC . TC‐JAM scheme is proposed to ensure the PDR where jammers are avoided and network lifetime is increased in the WSNs . In Jahanshahi et al, the authors proposed to cluster the jammed signals at BS in wireless cellular networks.…”

“…31 TC-JAM scheme is proposed to ensure the PDR where jammers are avoided and network lifetime is increased in the WSNs. 32 In Jahanshahi et al, 33 the authors proposed to cluster the jammed signals at BS in wireless cellular networks. The jamming detection method itself uses an improved Level Crossing Rate (LCR)-based Doppler shift estimation procedure using only inherent information, which is available in common receivers with moderate hardware requirements.…”